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Skills:

Microsoft SQL Server, User Experience (UX), User Interface (UI), Social Networking, Google Analytics

Job type:

Full-time

Writing and testing code for new programs Updating existing programs Identifying and correction errors Rewriting programs for different operating systems Secure program against cybersecurity threats.

Skills:

Microsoft SQL Server, Data Analysis, Fast Learner, Recruitment, Leadership Skill

Job type:

Full-time

• Handle data validation and processing in operational level aligned with standards and SLAs of MSE Mapping Operations.
• Analyze, report, and distribute validation results, suggest ideas with actionable plan to improve and develop both manual and automated workflows regarding quality and efficiency.
• Maintain and improve work standards and SOPs/guidelines, ensuring documents are always up to date.
• Collaborate with internal and external stakeholders to improve quality of works regarding operational and/or technical approaches, also propose idea with actionable plan to standardize workflows and documents.
• Identify, troubleshoot, and resolve issues upon request.
• Support ad-hoc projects upon requests.
• Are self-driven, self-organized and hard working: there is a lot to do here. It's fun, rewarding and you will learn tons along the way, but it's still a lot and we need someone who really wants to make a difference.
• Have the ambition to become something more: we hire for the long term and help people grow.
• You will learn a lot and get a real chance to progress in your career.
• Want a chance to learn how to innovate and always improve: Agoda is never happy with the status quo: we're on a quest for continuous improvement. You will learn how to review what you do, how to analyze data, how to come up with ideas and how to validate hypothesis before testing them and seeing what kind of results you can actually drive yourself.
• Undergraduate degree from an accredited university (fresh graduates are welcome).
• Excellent written and verbal communication skills in English; fluency in other languages is a plus.
• Experiencing in day-to-day operations in tech or Hospitality/OTA industry is a plus.
• Data-driven, analytical, and detail-oriented mindsets are required.
• Ability to work under pressure and time-constraint environment; fast learner, adapts well to and is energized by change.
• Ability to self-manage, multi-task, communicate effectively, work independently, and work as a team; proactive, friendly, with a sense of ownership.
• Proficiency in MS Excel (i.e. Pivot table, Vlookup).
• SQL skill is a plus.
• ntrylevel ai data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics powerbi.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Microsoft SQL Server, Marketing Strategy, Digital Marketing, Data Analysis, Recruitment

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 4+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

4 years required

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Negotiation, Recruitment

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liais ...
• Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company.
• Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
• Excellent verbal and written communication skills in English.
• Ability to move fast and be efficient, making decisions on objective data evidence.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or e-commerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Fresh Graduates are welcome to apply!.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science or related fields).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• entrylevel.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Microsoft SQL Server, Recruitment, Automation, Power BI, SSIS

Job type:

Full-time

• As a global medical device company originating from Japan, we pursue reliable quality and technology to contribute to healthcare in more than 160 countries and regions around the globe. We promise to walk alongside healthcare professionals to continue to make great contribution to society, now and into the future. Summary of the Role The ICT Regional Data Integration is focused on Design, develop, and maintain robust, scalable, and reliable ETL pipelines using Microsoft SQL Server technologies (SSIS), ensuring efficient data ingestion, transformation, and integration across enterpr ...
• Responsibilities 1. Data Integration & ETL Development Design & Deploy: Build, develop, and deploy robust SSIS packages for complex data integration workflows. Pipeline Management: Construct and maintain end-to-end ETL pipelines handling data extraction from multiple sources (ERP, CRM, flat files, APIs), applying transformation logic aligned with business rules, and loading data into data warehouse/data platform layers. Performance Optimization: Optimize SSIS packages for maximum performance (parallelization, indexing awareness), maintainability (modular design), and comprehensive error handling and logging. Data Ingestion: Develop and manage batch ingestion (scheduled ETL jobs) and incremental/delta data loads. Systems Integration: Seamlessly integrate data from SQL Server, external databases, flat files (CSV, Excel), APIs, and third-party systems while ensuring data consistency across multiple source systems. Platform Onboarding: Support the onboarding of new data sources into the core data platform. 2. Data Transformation & Modeling Implement critical data transformation logic, including data cleansing, standardization, enrichment, and business rules application. Support data transformation initiatives aligned strictly to data models (fact and dimension structures). Partner closely with the Data and Business Analyst teams to ensure delivered data is optimally structured for analytics consumption. 3. Data Jobs Scheduling & Automation Configure and manage SQL Server Agent jobs alongside ETL scheduling and orchestration tools. Automate data processes to guarantee timely execution of pipelines with minimal manual intervention. Support complex dependency handling between sequential data workflows.
• Education & Experience.
• Bachelor's degree in Information Technology, Computer Science, or an equivalent field. Certifications (Preferred/Required): Microsoft SQL Certification Microsoft Data Platforms (Power BI and Fabric) ITIL Certification Microsoft O365 Platform Note to External Recruitment Agencies: Terumo does not recognize candidate submissions from any recruitment agencies and will not be responsible for payment of any recruitment fees due to the hiring of candidates whose resumes were submitted to Terumo employees or offices without the recruiting team's acknowledgement.

Experience:

3 years required

Skills:

Microsoft SQL Server, Marketing Strategy, Data Analysis, Recruitment, Power BI

Job type:

Full-time

• Help on defining the Product Customer Value Proposition and Go To Market (GTM) Strategy.
• Design optimization strategy for the product across the full funnel - from user across key business metrices (i.e., acquisition, activation, transaction growth, top-ups loyalty and customer engagement).
• Execute the marketing strategy: e.g.,.
• Launch the different marketing channels (e.g., paid search, app campaigns, affiliates).
• Optimize performance campaigns across channels such as; App campaigns, KOL initiative and Paid search.
• Optimize incentives via campaigns across markets to drive business objectives while maintaining sustainable unit economics.
• Work closely with Product and Design to Shape onboarding, in-app messaging, and key user journeys.
• Collaborate with Fintech, Legal, and Compliance to ensure campaigns, claims, and messaging are accurate, compliant, and easy for customers to understand and translate regulatory constraints into clear, user friendly communications.
• Build and continuously improve dashboards, reporting, and processes on your respective portfolio to scale operationally over time.
• This is a sole contributor role with strong visibility across Managers and Directors.
• What You'll Need to Succeed.
• Must Have.
• Marketing expertise: At least 3 years of experience with running strategic initiative within the e-commerce, consulting, OTA and fintech space.
• Comfortable working with data and performance metrics (CAC, LTV, activation, retention, payback, cohorts).
• Ability to pull and analyze data using SQL and/or self serve BI tools.
• Able to operate in ambiguity, set up new processes, and "figure things out" without a playbook.
• Excellent organizational skills, attention to detail and ability to work independently.
• Ability to think strategically, learn fast and understand new business dynamics.
• Innate desire to take ownership, make an impact and influence outcomes.
• Bias for action and experimentation.
• Excellent verbal and written communication skills in English.
• Strong stakeholder management and communication skills, with experience collaborating with multi team in multiple department.
• Nice to Have.
• Experience with Direct marketing, Performance marketing and Affiliate marketing for financial products.
• Experience in consulting, investment banking, e-commerce, fintech or financial services, such as Travel cards, multi currency wallets.
• Experience launching or scaling a new product or major feature as part of a team.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

4 years required

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Negotiation, Recruitment

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liais ...
• Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company.
• Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
• Excellent verbal and written communication skills in English.
• Ability to move fast and be efficient, making decisions on objective data evidence.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or e-commerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

4 years required

Skills:

Microsoft SQL Server, Product Development, Marketing Strategy, Digital Marketing, Data Analysis

Job type:

Full-time

• Identify recurring Marketing workflows where AI can materially improve speed, quality, scalability or decision-making.
• Quantify each opportunity by establishing its current effort, pain points, user base and potential business value.
• Translate business needs into clear product requirements, user journeys, milestones and measurable success criteria.
• Build and test prototypes using SQL, Python, automation tools and generative AI technologies.
• Partner with developers, Technology teams and sponsoring Marketing teams to turn successful prototypes into reliable products.
• Design evaluation frameworks covering output accuracy, reliability, usability, safety and appropriate human review.
• Lead user research, pilots and iterative testing with analysts, channel specialists and other target users.
• Drive rollout, documentation, training and adoption in partnership with sponsoring teams.
• Measure hours saved, improvements in turnaround time and quality, adoption levels and downstream business impact.
• Maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings and recommendations to senior stakeholders.
• Monitor developments in AI capabilities and identify when existing products should be improved, expanded or retired.
• Contribute reusable tools, standards and playbooks that help Marketing teams build better AI-enabled workflows independently.
• What You'll Need to Succeed.
• 4-6 years of relevant experience in analytics, product analytics, marketing strategy, business operations, consulting, product management or a related field.
• Bachelor's degree or higher in a quantitative, technical or business discipline such as computer science, engineering, mathematics, statistics, economics or finance.
• Strong SQL skills and experience working independently with large or complex datasets.
• Hands-on experience with Python, scripting, workflow automation or similar technical tools.
• Experience defining hypotheses, designing experiments and translating results into actionable business recommendations.
• Strong product thinking, including the ability to understand user problems, define requirements and make pragmatic scope and prioritization decisions.
• Ability to break ambiguous problems into structured workstreams and move rapidly from analysis to execution.
• Strong written and verbal communication skills in English.
• Experience influencing stakeholders and communicating complex concepts clearly to both technical and non-technical audiences.
• A strong sense of ownership, attention to detail and commitment to delivering high-quality, dependable solutions.
• Ability to collaborate effectively across Marketing, Analytics, Product and Technology teams.
• Experience building GenAI applications, AI agents or automated analytical workflows.
• Familiarity with prompting, retrieval-augmented generation, APIs, model evaluation and human-in-the-loop workflows.
• Experience using AI-assisted development tools such as Codex, Cursor, Claude Code or Google AI Studio.
• It's Great if You Have.
• Experience writing product requirements, managing a product backlog or taking an internal product from prototype to scaled adoption.
• Knowledge of digital marketing, performance marketing, experimentation, SEO/AEO, campaign operations or personalization.
• Experience establishing quality-assurance and monitoring processes for data or AI products.
• Experience deploying internal tools or working closely with software engineers on production systems.
• What Success Looks Like.
• In your first year, you will help launch and scale a small number of cross-Marketing AI products with clear adoption and value metrics. These products should deliver measurable improvements in employee productivity, output quality or business outcomes and have clearly defined ownership, documentation, quality controls and maintenance plans.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive i ...
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

2 years required

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Negotiation, Recruitment

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

2 years required

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Negotiation, Recruitment

Job type:

Full-time

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Quantitative Analysis, Microsoft SQL Server, Data Analysis, Recruitment, eCommerce

Job type:

Full-time

• Own and evolve pricing strategies and optimization for B2B partner channels.
• Build and lead experimentation roadmaps, including test design, success measures, decision frameworks, and post-test actions.
• Evaluate pricing and growth opportunities through structured analysis, including elasticity, incrementality, cannibalization, and scenario modeling where relevant.
• Act as a trusted advisor to senior internal and external stakeholders; surface trade-offs, align priorities, and drive decisions to closure; Coordinate cross-functional execution across Commercial, Product, Data Science, Marketing, and operations teams.
• Turn complex findings into concise executive narratives, recommendations, and decision-ready materials; Manage strategic partner and vendor interactions when required, including presentations, working sessions, and follow-ups.
• What you'll bring.
• Experience applying quantitative analysis to commercial decisions in technology, e-commerce, travel, management consulting, internal strategy, or pricing.
• Strong business judgment and structured problem-solving skills, with the ability to frame ambiguous questions, evaluate trade-offs, and recommend a path forward.
• Exceptional stakeholder management and communication skills, including the ability to influence without authority and build alignment across functions, seniority levels, and geographies.
• Fluency with data and analytical tools, including advanced SQL; experience with visualization tools such as Tableau or an equivalent platform.
• Practical experience designing or interpreting controlled experiments and translating results into decisions.
• A high-ownership, bias-for-action mindset and comfort operating in a fast-paced, test-and-learn environment.
• A bachelor's degree in a quantitative, business, or related field, or equivalent practical experience.
• It's a plus if you have.
• A background in using quantitative data for decision making within tech, ecommerce, management consulting, internal strategy, or pricing initiatives.
• Experience building decision frameworks or analytical tools that are used repeatedly in live business decisions.
• Working knowledge of Python or R for modeling and scalable analysis.
• What success looks like.
• Become a trusted advisor whose recommendations are clear, rigorous, and commercially grounded.
• Turn pricing insights and experiments into decisions and coordinated execution.
• Build alignment across stakeholders, functions, and markets.
• Develop repeatable approaches that can scale across partners.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill

Job type:

Full-time

• Data analysis: Analyze massive amounts of data generated in experiments, build dashboards and make actionable recommendations.
• Pricing: Experiment with different pricing frameworks across channels to grow the business.
• Performance marketing: Scale our performance marketing channels (e.g., metasearch, ads etc.).
• Strategy: Work with cross-functional stakeholders to arrive at investment plan for markets and channels.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently and succinctly in English.
• Good numerical reasoning skills.
• Strong problem-solving skills.
• Proficiency in Excel and SQL.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Experience in digital marketing.
• Experience in travel sector (specifically flights).
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

2 years required

Skills:

Microsoft SQL Server, Problem Solving, Automation, Leadership Skill, Teamwork

Job type:

Full-time

A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines. Experience in Big 4 or MNC Consulting firm or industry equivalent role. Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience. Strong experience in one or more of the following programming languages: Scala, Python, or R. Experience with one or more non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, Oracle BDA. Experience with one or more relational data stores using SQL, Oracle DB, Microsoft SQL S ...

Skills:

Microsoft SQL Server, Windows Server, Oracle, Linux, MySQL

Job type:

Full-time

• วางแผน ดูแล และบริหารจัดการระบบ Infrastructure ขององค์กร ทั้ง Server,(Unix/Linux/Windows),Network และอุปกรณ์ที่เกี่ยวข้องให้พร้อมใช้งานและมีเสถียรภาพ.
• ดูแลและประสานงานด้าน Database Infrastructure ของระบบ Oracle (ERP),MSSQL(HR)และMySQL(ระบบอื่นๆ)ร่วมกับทีมงานที่เกี่ยวข้อง.
• สนับสนุนและร่วมดำเนินโครงการ Implement ระบบ ERP on Cloud (Oracle EBS on OCI)ในส่วนของ Infrastructure และการเชื่อมต่อกับระบบ On-premise เดิม.
• วางแผนและดูแลระบบ Backup, Disaster Recovery(DR) และความปลอดภัยของระบบ(Security) ให้เป็นไปตามมาตรฐาน.
• ดูแลระบบ Infrastructure ที่สำนักงานใหญ่ โรงงาน(บางชัน) และคลังสินค้า (มีนบุรี) รวมถึงเดินทางไปปฏิบัติงาน ณ สาขาต่างๆ ตามความจำเป็น.
• ตรวจสอบ วิเคราะห์ และแก้ไขปัญหาเชิงเทคนิคที่เกิดขึ้นกับระบบได้อย่างทันท่วงที.
• จัดทำเอกสารมาตรฐานการปฏิบัติงาน (SOP), Network Diagram และเอกสารที่เกี่ยวข้องกับระบบ Infrastructure.
• ประสานงานกับ Vendor ผู้ให้บริการระบบต่างๆ เช่น Oracle, Cloud Provider (OCI) และผู้ให้บริการ Network/Security.
• ให้คำปรึกษาและสนับสนุนทีมงาน IT (Support Team) ในการแก้ไขปัญหาเบื้องต้น.
• ทักษะ.
• และประสบการณ์.
• วุฒิการศึกษาปริญญาตรีขึ้นไป สาขาวิทยาการคอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์ เทคโนโลยีสารสนเทศ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน IT Infrastructure/System Administrator อย่างน้อย 3-5 ปี ขึ้นไป.
• มีความรู้ความเข้าใจในการดูแลระบบปฏิบัติการ Unix, Linux และ Windows Server เป็นอย่างดี.
• มีความรู้พื้นฐาน Database เช่น Oracle, Microsoft SQL Server และ MySQL (ในระดับ Infrastructure/Administration).
• มีประสบการณ์หรือความรู้เกี่ยวกับ Cloud Infrastructure โดยเฉพาะ Oracle Cloud Infrastructure(OCI) จะได้รับการพิจารณาเป็นพิเศษ.
• มีความรู้ด้าน Network,Security, Firewall, Backup และ Disaster Recovery.
• มีทักษะการวิเคราะห์และแก้ไขปัญหาเฉพาะหน้าได้ดี สามารถทำงานภายใต้ความกดดันได้.
• มีภาวะผู้นำ สามารถให้คำแนะนำและถ่ายทอดความรู้แก่ทีมงานได้.
• สามารถสื่อสารภาษาอังกฤษได้ในระดับดี (อ่าน/เขียน เอกสารทางเทคนิค).
• สามารถเดินทางไปปฏิบัติงานที่สาขาอื่น (โรงงานบางชัน,คลังสินค้ามีนบุรี) ได้ตามความจำเป็น.
• สามารถทำงานวันจันทร์ - ศุกร์ และวันเสาร์เว้นเสาร์ แบบ Onsite 100 % ได้.
• มีประสบการณ์ตรงในการทำ Project Implement/Migrate ระบบ ERP สู่ Cloud.
• มี Certificate ที่เกี่ยวข้อง เช่น OCI,RHCE,MCSA/MCSE หรือเทียบเท่า.
• มีประสบการณ์ในธุรกิจการผลิต (Manufacturing) หรือ FMCE.

Experience:

5 years required

Skills:

Database Administration, System Administration, Microsoft SQL Server, Software Development, Software Testing

Job type:

Full-time

• ดูแลและบริหารจัดการระบบ Platform และ Application รวมถึงตรวจสอบสถานะ ความพร้อมใช้งาน และประสิทธิภาพของระบบอย่างสม่ำเสมอ.
• Monitor ระบบ Application, Database และองค์ประกอบที่เกี่ยวข้อง พร้อมตรวจสอบ Alert, System Log และ Error Log เพื่อค้นหาและป้องกันปัญหาที่อาจส่งผลต่อการให้บริการ.
• ให้คำแนะนำด้านการพัฒนา ปรับปรุง Configuration และการเชื่อมต่อระบบ รวมถึงประสานงานกับทีม Developer และ Technical Team ในประเด็นที่เกี่ยวข้อง.
• วิเคราะห์และแก้ไขปัญหา Application, Software, Database และ System Integration ในระดับเบื้องต้นถึงระดับที่ได้รับมอบหมาย พร้อมดำเนินการ Escalate ไปยังทีมที่เกี่ยวข้องเมื่อจำเป็น.
• จัดทำและดูแลฐานข้อมูลของระบบให้มีความถูกต้อง ครบถ้วน ปลอดภัย และพร้อมใช้งาน รวมถึงตรวจสอบและแก้ไขปัญหาข้อมูลตามขั้นตอนที่กำหนด.
• จัดทำและตรวจสอบ SQL Query สำหรับการตรวจสอบข้อมูล วิเคราะห์ปัญหา และจัดทำข้อมูลสนับสนุนการดำเนินงานตามความเหมาะสม.
• ดูแลการสร้าง แก้ไข ปิดใช้งาน และกำหนดสิทธิ์บัญชีผู้ใช้งาน รวมถึง Role และ Access Permission ให้เป็นไปตามนโยบายและข้อกำหนดด้านความปลอดภัย.
• ตรวจสอบและทดสอบ Function / Feature / System Integration ก่อนนำระบบหรือการปรับปรุงขึ้นใช้งานจริง รวมถึงสนับสนุนการทำ UAT และ Deployment.
• รับแจ้งและให้บริการสนับสนุนผู้ใช้งาน วิเคราะห์ปัญหา ให้คำแนะนำ และดำเนินการแก้ไขหรือประสานงานติดตามจนปัญหาได้รับการแก้ไขตาม SLA.
• จัดทำ Incident Record, Service Request และ Problem Record พร้อมวิเคราะห์สาเหตุของปัญหา (Root Cause Analysis: RCA) และเสนอแนวทางป้องกันไม่ให้เกิดปัญหาซ้ำ.
• ประสานงานกับทีมพัฒนา ทีม Infrastructure, Cloud, Network, Cybersecurity, Database และผู้ให้บริการภายนอก เพื่อแก้ไขปัญหาและรักษาความต่อเนื่องของระบบ.
• สนับสนุนการสำรองและกู้คืนข้อมูล (Backup & Recovery) รวมถึงตรวจสอบความถูกต้องของกระบวนการ Backup และการกู้คืนข้อมูลตามแผนที่กำหนด.
• สนับสนุนการติดตั้ง Upgrade, Patch, Configuration Change และการนำระบบขึ้นใช้งานจริง โดยดำเนินการตาม Change Management Process.
• ตรวจสอบและติดตาม System Performance, Application Performance และ Capacity เบื้องต้น พร้อมเสนอแนวทางปรับปรุงประสิทธิภาพของระบบ.
• จัดทำและปรับปรุงคู่มือการใช้งาน คู่มือการแก้ไขปัญหา Knowledge Base และเอกสารทางเทคนิคที่เกี่ยวข้อง.
• จัดทำรายงาน Incident, Problem, System Availability, Service Performance และสรุปผลการให้บริการสนับสนุนผู้ใช้งาน.
• ปฏิบัติงานตามมาตรฐานด้าน Information Security, Access Control, Data Protection และ Personal Data Protection ที่เกี่ยวข้องกับระบบ.
• ให้คำแนะนำและสนับสนุนผู้ใช้งานในการใช้งานระบบอย่างถูกต้อง รวมถึงถ่ายทอดความรู้และจัดทำ User Guide ตามความเหมาะสม.
• เสนอแนะแนวทางปรับปรุงกระบวนการทำงาน ระบบ และการให้บริการ เพื่อเพิ่มประสิทธิภาพและลดปัญหาที่เกิดขึ้นซ้ำ.
• ปฏิบัติงานอื่น ๆ ที่เกี่ยวข้องกับการดูแลระบบ Platform และงานสนับสนุนด้านเทคโนโลยีสารสนเทศตามที่ได้รับมอบหมาย.
• คุณวุฒิการศึกษา.
• สำเร็จการศึกษาระดับ ปริญญาโทขึ้นไป สาขาเทคโนโลยีสารสนเทศ วิศวกรรมคอมพิวเตอร์ วิทยาการคอมพิวเตอร์ วิศวกรรมซอฟต์แวร์ ระบบสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• หากมีวุฒิหรือ Certification ด้าน System Administration, Database, Cloud, IT Service Management หรือ Cybersecurity จะได้รับการพิจารณาเป็นพิเศษ.
• ประสบการณ์ทำงาน.
• มีประสบการณ์ทำงานด้าน IT System Support, Application Support, System Administration, Database Administration, IT Operations หรือ Technical Support ไม่น้อยกว่า 9 ปี นับถัดจากวันที่สำเร็จการศึกษาระดับปริญญาโท.
• มีประสบการณ์ดูแลระบบ Platform, Web Application หรือ Enterprise Application ที่มีผู้ใช้งานจำนวนมาก.
• มีประสบการณ์ในการวิเคราะห์และแก้ไข Incident / Problem และประสานงานกับทีม Technical หลายฝ่าย.
• มีประสบการณ์ทำงานร่วมกับทีม Software Development, Infrastructure, Cloud, Network หรือ Cybersecurity.
• หากมีประสบการณ์ในโครงการภาครัฐ หรือระบบที่ดำเนินงานภายใต้ TOR / SLA / Contract จะได้รับการพิจารณาเป็นพิเศษ.
• ความรู้และทักษะที่จำเป็นSystem & Application.
• มีความรู้และประสบการณ์ด้านการดูแลระบบ Platform, Web Application หรือ Enterprise Application.
• เข้าใจกระบวนการ Application Support, Incident Management, Problem Management และ Service Request.
• สามารถวิเคราะห์ Application Log, Error Log และ System Log เพื่อค้นหาสาเหตุของปัญหาได้.
• มีความเข้าใจด้าน API, Web Service, System Integration และ Data Flow.
• มีความเข้าใจกระบวนการ SDLC, Software Testing, UAT, Deployment และ Change Management.
• Database.
• มีความรู้ด้าน Database Management และสามารถใช้ SQL สำหรับ Query, ตรวจสอบ และวิเคราะห์ข้อมูลได้.
• มีความเข้าใจด้าน Database Backup / Restore, Data Validation และ Database Security.
• สามารถวิเคราะห์ปัญหาด้านข้อมูลและประสานงานกับ Database Administrator หรือทีมพัฒนาได้.
• Infrastructure & Cloud.
• มีความเข้าใจพื้นฐานด้าน Server, Operating System, Network และ Cloud Infrastructure.
• สามารถตรวจสอบ System Availability, Performance, Resource Utilization และ Capacity เบื้องต้นได้.
• หากมีประสบการณ์ด้าน AWS, Microsoft Azure, Google Cloud หรือ Private Cloud จะได้รับการพิจารณาเป็นพิเศษ.
• Security.
• มีความรู้พื้นฐานด้าน Information Security, Authentication, Authorization, Access Control และ Audit Log.
• มีความเข้าใจเกี่ยวกับการคุ้มครองข้อมูลส่วนบุคคล (PDPA) และการรักษาความปลอดภัยของข้อมูลผู้ใช้งาน.
• User & Service Support.
• มีทักษะในการวิเคราะห์และแก้ไขปัญหาอย่างเป็นระบบ สามารถทำ Root Cause Analysis (RCA) ได้.
• มีทักษะในการสื่อสารกับผู้ใช้งานทั่วไป และสามารถอธิบายประเด็น Technical ให้เข้าใจได้ง่าย.
• มี Service Mind และสามารถให้บริการผู้ใช้งานภายใต้ข้อจำกัดด้านเวลาและ SLA.
• สามารถประสานงานและ Escalate ปัญหาไปยังทีมที่เกี่ยวข้องได้อย่างเหมาะสม.
• Documentation & Reporting.
• สามารถจัดทำ User Guide, Technical Document, Incident Report, Problem Report และ Knowledge Base ได้อย่างเป็นระบบ.
• สามารถจัดทำรายงานสรุปปัญหา สถานะระบบ และผลการให้บริการต่อผู้บริหารหรือผู้จัดการโครงการได้.
• มีประสบการณ์ดูแล Enterprise / Government Platform.
• มีประสบการณ์ทำงานตาม SLA และ IT Service Management.
• มีความรู้หรือ Certification ด้าน ITIL.
• มีความรู้ด้าน Database เช่น Microsoft SQL Server, PostgreSQL, MySQL หรือ Oracle.
• มีประสบการณ์ใช้ Monitoring / Log Management Tools.
• มีประสบการณ์ด้าน API Testing หรือ Tools เช่น Postman.
• มีประสบการณ์ด้าน Cloud หรือ Container เช่น Docker / Kubernetes.
• มีความรู้ด้าน Cybersecurity และ Vulnerability Management เบื้องต้น.
• สามารถใช้เครื่องมือบริหารงาน เช่น Jira, ServiceNow, Azure DevOps หรือระบบ Ticketing ได้.
• สามารถสื่อสารภาษาอังกฤษและอ่าน Technical Documentation ได้.
• หากมีประสบการณ์ทำงานกับระบบที่มี High Availability / High Availability Architecture หรือ Mission-Critical System จะได้รับการพิจารณาเป็นพิเศษ.

Experience:

1 year required

Skills:

Automation, Cloud Computing, XML

Job type:

Full-time

• Perform modifications and fix errors in the TIL system.
• Run query dataset as requested by end users.
• Support DataFix, manage Master.
• Configuration, and execute data queries to ensure data accuracy and operational readiness.
• Examine inputs from users and analyze for possible modifications to the TIL system.
• Provide overall support related to TIL systems.
• Maintain and supervise database operations, and solve any related problems that occurred.
• Test and ensure program quality.
• Development.
• Lead development in-house applications/programming to improve the functionality and capability of the existing system.
• Architect solutions that improve system scalability, maintainability, and security.
• Collaborate with the team in planning and executing development tasks.
• Troubleshoot complex technical issues and provide technical support to the development team.
• Co-ordination.
• Deal with external vendors in case of outsourcing, evaluate and negotiate initially on budget, plan, timeframe, and requirements.
• Coordinate with TPIT regarding the Server, Backup/Restore Database, network, Google mail, and other vendors to investigate and solve issues.
• Education.
• Bachelor's Degree or Master's Degree in Computer engineering, Computer Science or related fields.
• Work Experience.
• At least 3-5 years. experiences in software development or relevant fields, with C#.Net, is advantage.
• Experienced in design and basic administration of relational databases (Especially Oracle).
• Code development as per the technical specification and software development methodology.
• Strong technical knowledge of Software Development processes.
• Knowledge of computer program design methods and techniques, as well as the computer logic and overall computing environment.
• Ability to multi-task and stay organized in a dynamic work environment.
• Proactive and self-motivated with a strong desire for continuous learning.
• A strong Service mindset to satisfy customer needs be an advantage.
• Team player, pleasant and enthusiastic personality with good interpersonal skills.
• Good communication skills, both verbal and written in English.
• Experience in Automation in one or more RPA technologies (UiPath) is preferred.
• Willingness to learn and become an expert in RPA and other automation technologies.
• Knowledge of CI/CD processes using GitLab.
• Familiarity with performance testing tools like JMeter.
• Ability to write automated test scripts using frameworks such as Robot Framework.
• Essential and Preferable: Technical skills and experience.
• Front-end: JavaScript, TypeScript, HTML5, CSS, Bootstrap, jQuery, Ajax.
• Back-end:NET Core, Node.js, Web API, web services, Python (will be considered as an advantage).
• Tools: VS Code, Visual Studio.NET ecosystem: C#,.NET Framework,.NET Core, ASP.NET MVC, LINQ, Entity Framework.
• Database: Oracle SQL, Microsoft SQL Server.
• Version Control: Git, GitFlow, GitLab, CI/CD.
• Frameworks: Angular, React, Flutter.
• Reporting tools: Crystal Reports, RDLC.
• XML Technologies: XML, XSLT, XPATH.
• Cloud & Automation: Cloud API, UiPath.
• Automate testing tool: J-meter, Robot Framework.
• Microservices architecture.
• Technical Skills.
• Must have 1: Microsoft SQL Server.
• Must have 2: Oracle Database.
• Must have 3: API: Swagger.
• Must have 4: ASP.NET Framework.
• Must have 5: C#.NET.
• Must have 6: HTML/CSS and CSS Frameworks (e.g. Emotion, Stitches).
• Must have 7: Java.
• Must have 8: Javascript.
• Must have 9: Javascript (AngularJS).
• Must have 10: JS/TS + Node/Express/NestJS.
• Soft Skills.
• Must have 1: Fast Learner.
• Must have 2: Work independency.
• Must have 3: High Responsibility/Commitment.
• Must have 4: Flexibility and Adaptability.
• Must have 5: Multitasking and Prioritizing.
• Must have 6: Working Under Pressure.