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ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Identify issues and recommend solutions based on test result analysis.
• Generate the necessary test data for different stages of testing.
• Provide pre-implementation as well as post-Implementation support.
• Incident support, performing root cause analysis, resolution execution and escalation of unresolved incidents.
• Manage and analyze the incidents, identify the problem and escalate to Project's Team for support when required.
• Customer Service Management Responsible for operations system testing and training; create training material and test cases, provides on-going support to end users as needed.
• Support functional, business case, and system integration testing.
• Identify issues based on test results and present the findings to relevant stakeholders.
• Provide on-going support to master data and owns country master data.
• Stakeholder Management Work with regional IT to ensure timely deployment of Domestic systems.
• Train new users on system usage.
• Support local super users to identify necessary change requests to enhance the operational systems for local business.
• Work closely with business and various departments to ensure applications are well supported.
• Team Management Develop operational system training skills.
• Develop skills in DHL proprietary application - Domestic System.
• Bachelor Degree or above.
• Minimum 2 - 4 years overall business knowledge in the field (familiar with a variety of the field's concepts, practices, and procedures). Experience in deploying operational systems in new terminals/hubs. Testing experience is a plus.
• Logistic operational experience is preferred.
• Ability to understand business processes and relate them to technical teams.
• Strong oral and written communication, interpersonal skills.
• Ability to work independently and as part of a team.
• Experience using Quality Center/RTC for test execution, and defect management.
• Experience in testing, writing end user documentation.
• Proficient in MS Office (MS Project, Excel, Word, PowerPoint and Visio).
• GL88855 Bangkok, Krung Thep Maha Nakhon Bangkok, Thailand Category Operations Posted Date 08/26/2021 Hours/week 48 eCommerce Solutions DHL eCOMMERCE SOLUTIONS (THAILAND) LIMITED

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

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งานประจำ

เงินเดือน:

สามารถต่อรองได้

• ทำงานสัปดาห์ละ 5 วัน.
• มีเวลาการทำงานที่ยืดหยุ่น.
• ประกันชีวิต.
• ประกันสุขภาพ.
• เงินโบนัสตามผลงาน.
• ค่าทำงานล่วงเวลา.
• ค่าใช้จ่ายในการเดินทาง.
• ประกันสังคม.
• ตามข้อตกลงของบริษัท.
• ค่าเดินทางวันละ 30 บาท สนใจตำแหน่งงานนี้กรุณาติดต่อ ชื่อผู้ติดต่อ: ศรวณีย์ ภู่ภูมิรัตน์ (มีน) เบอร์ผู้ติดต่อ: 02 7145400 Ext.1105 อีเมล: [email protected] วิธีการรับ รับผ่านทาง JOBBKK.COM

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Create features / user stories with relevant acceptance criteria, scenarios, and estimating business value and technical requirements of product backlog items.
• Support Product Manager in developing and maintaining product backlog / required business capabilities including identifying capabilities, improvement opportunities.
• Engage with all stakeholders (business, technical team, product owner) to make sure that there is no gap at any level, prepare BA artefacts including process maps, design flow, specifications, and wireframes.
• Develop solution options, high level solution design and solution components and explore potential technical solutions with team.
• Help to translate business strategy into technical requirements for development team (i.e., technical translation of product backlog items) with the focus on process optimization.
• Demonstrate up-to-date expertise in the product, processes and apply to the development, execution, and implementation.
• Review business processes from end-to-end perspective and address operational, financial, and technological risks.
• Identify and deliver process improvement solutions across complex, technical, and cross-functional processes.
• Drive development of product features and ensure that the development team is working on items that will deliver the most significant customer and business value.
• Work with the product owners and other stakeholders to ensure appropriately refined features according to 'definition of ready' as well as 'definition of done'.
• Collaborate with Product Managers, Development team and Solution Architects to create a holistic backlog and architectural runway also encompassing technical enablers, non-functional requirements, and improvements to ways of working.
• Support Product Managers to facilitate key events and orchestrate the deliver with delivery manager including participating in sprint planning, sprint review, product demos, and sprint retrospective, etc.
• Work with transformation and relentless improvement towards a more agile operating model creating faster time to market, better quality, and more efficiency.
• What is needed to succeed4+ years of Business Analysis experience with agile mindset through applying the agile principles of business analysis to the outcomes, while leveraging the agile manifesto for the work.
• Experience on manufacturing and/or back office application/platform implementation for manufacturing as a mandatory (preferable in HR and Finance areas).
• Client-facing skills, including the ability to analyse complex problems, influence and negotiate with customers.
• Independent, proactive, and structured. Ability to ensure progress and commitment to deadlines.
• Ability to create and clearly communicate the product vision and backlog to both stakeholders and team members.
• Understand technology platforms, trends and can activate technical expertise in the organization.
• Understanding of agile methods and processes, and capability of supporting agile project teams by providing advice and guidance on opportunities, impact, and risks, taking account of technical and architectural debt.
• Business acumen and politically astute, ability to act with diplomacy and sensitivity to cultural diversity.
• Combination of strategic and analytical insights with a passion for technology.
• Professional Business Analysis certification (e.g., CBAP) would be an advantage.
• Experience on manufacturing ERP would be an advantage.
• Thank you for your interest in PANDORA and your application to the position above. Our Talent Acquisition team will review your profile for this job opportunity as well as others positions that are suitable to your profile. Should you be selected as a candidate for the position applied, we will notify and contact you for further arrangement. The Company offers an exciting challenge to the right candidate. Please submit your resume to us.
• Pandora Production Co., Ltd.
• 88 Soi Sukhapiban2 Soi31, Kweang Dokmai, Khet Praves, Bangkok 10250 Website: www.pandora.net

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Sales & Marketing Analysis, Reports and DashboardsExtract and analyse data from various sources such as SAP, QlikView, SQL Database, Google Analytics, Power BI.
• Interpret Sales Customer data and identify profit pools.
• Make Recommendations on possible actions and changes to working practices based on analysis in line with Group validation.
• Locate and define new process improvement or sales and marketing operational change opportunities.
• Provide recommendations in terms of incentives for commercial representatives in line with Group Interaction and validation.
• Evaluate the operational impacts by defining and measuring KPIs to follow up the operational performance from a financial and commercial perspective.
• Provide ongoing reports to follow up the commercial performance to relevant teams.
• Produce reports and analyses, facilitate information to support sales and marketing campaigns.
• Database ManagementResponsible for data acquisition (from primary or secondary data sources) and maintenance, quality control of local databases/data systems.
• Filter and "clean" data, review reports, and performance indicators to locate and correct problems.
• Maintain confidentiality, data integrity.
• Market AnalysisEvaluate customers' needs, market size and market share per segment.
• Investigate market growth perspective per segment and define sales prevision.
• Research and analyse the company competitive environment and follow up / benchmark competitors' results.
• Project ManagementSupport the company for strategy definition and implementation in line with Group validation.
• Manage project(s) to improve customers' insight collection, usage and effectiveness of sales organisation.
• Be responsible for initiation, planning, design, execution, monitoring, controlling and closure of project, including training of the different stakeholders and development of local user guides.
• Be the local point of contact regarding data base management, customers' segmentation analysis and customers' insight program for Local / Group stakeholders.
• Perform supporting activities and additional projects as assigned.
• Bachelor Degree or higher in Data Sciences, Statistics, Economics, Business, Marketing or related field.
• Proven working experience in data analysis, as a Data Manager/Business Analyst.
• Strong knowledge and experience with report building & Business Intelligence packages (Business Objects, SQL Query, Google Analytics, QlikView, Power BI, Tableau, etc.).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information and interpret trends or patterns in complex data sets with attention to detail and accuracy.
• Superior proficiency in Excel (pivot table, matrix, etc.) & Advanced Microsoft Office (PowerPoint Presentation).
• Professional English & Presentation Skill.
• Project management skills.
• Ability to conduct research.
• Ability to prioritize and multi-tasking.
• Self-driven, energetic, independent, and proactive.
• Interpersonal Skill.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Conceptualise, design, and develop analytical solutions to complex business problems, and implement prototypes with wide ranging impact across the entire Supply-chain at Agoda.
• Lead, guide, and provide technical mentorship to a team of highly qualified and motivated Analysts/ Senior Analysts/ Lead Analysts on technically and mathematically complex projects.
• Work closely with multiple facets of Supply at Agoda, including Product, Data Scienc ...
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Technical mastery of analytics and data modelling. The Senior Manager/Senior Lead Analyst should have strong technical expertise in multiple domains of analytics, and should be able to provide technical and conceptual guidance and have a sufficiently broad technical expertise to identify knowledge gaps for learning amongst their reports at the Master's degree level of competency.Familiarity with complex analyses (classical techniques, simulations, ABM, markov chains, optimisation, ML, DL) and full end-to-end data modelling (feature engineering, model diagnostics, hyperparameter tuning, daisy chaining).
• High enough technical level in every domain of analytics (simulations, algorithmics, statistics, optimisation, ML, DL) and a strong competency in programming, data engineering, automation, and systems architecture.
• Able to understand and review technical papers (e.g. ARXIV) and apply learnings in real world applications.
• The business understanding and ability to balance the time-demands of increasing the complexity of analyses and accuracy of models with the marginal value generated from such efforts.Research projects in the Analytics Research team typically have a 3-6 month cadence for major projects, including prototyping and implementation, significantly shorter than the typical length of research projects in academia.
• The ability to translate complex business problems into modular analytical/ mathematical problems or models.
• The ability to integrate business considerations and constraints into complex data models without compromising on the analytical core of the research projects, and understanding the analytical implications of business decisions (e.g. trade-offs made when smoothing a prediction forecast used in operations).
• An advanced degree (PhD, Research MSc) from a reputable university in a quantitative research discipline (e.g. Mathematics, Statistics, Operations Research) with strong programming competency and a strong understanding of the mathematical underpinnings of algorithms, machine learning, and optimisation, as well as some experience leading a research team in industry working on complex business problems, preferably with 8-12 years of total experience in a quantitative role.Strong command of Hive SQL, R, and Python.
• Familiarity with the Jupyter programming environment.
• Comfortable with command line programming,.
• Comfortable operating in a Hadoop environment.
• Knowledge of Spark/PySpark will be beneficial.
• STRA #ANLS #MRKT #4 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo 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 metabase analytics 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Lead role and provided consultancy services in banking industry in the areas of business process re-design, loan origination system, regulatory reporting, credit analysis and collateral management.
• Also involve in the bank transformation journey starting from customer onboarding, services and product subscription, operations supporting to the lending processes.
• Senior business analyst on delivery complex assignments for commercial banking in Thailand.
• Regular communication between project stakeholders, in particular, BA, developers and testers to monitor quality delivery. Specific skill areas include onboarding, KYC, loan origination system (Corporate and SME),limits & collateral management and regulatory reporting.
• Involvement in providing Credit and Operational risk management.
• Required Technical and Professional Expertise
• As stated above
• Preferred Technical and Professional Expertise
• As stated above
• About Business UnitIBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.
• Your Life @ IBMAre you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.
• Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
• It's time to define your career.
• About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
• Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
• Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

.NET, Red Hat, ETL, English

ประเภทงาน:

งานประจำ

เงินเดือน:

฿45,000 - ฿90,000, สามารถต่อรองได้

• Job Position: Business Analyst.
• As a Business Analyst, you are responsible for bridging the gap between IT and the business using analytical skills to assess processes, determine requirements and deliver data-driven recommendations including designing a Business Requirement Documentation for the stakeholders. BAs engage with business leaders and users to understand how data-driven changes to process, products, services, software and hardware can improve efficiencies and add value to the business. They must articulate those ideas b ...
• You ll work with our customer who is a Top 5 financial institution of Thailand and leverage a real-time Enterprise Fraud Solution platform which is the best in class in machine learning technique which is recognized in Gartner Market Guide for Online Fraud detection.
• This is a customer-facing role, you will works directly with the customer and delivery team to fully understand the business and deliver the solutions that are fit for purpose including support the customer and relevant technical stakeholders to integrate to our suite of products.
• Conduct the business requirement gathering workshop with all stakeholders to design a Business Requirement Document and data mapping for integration.
• Design Business Data mapping between Company s solution with customer s system to meet the business requirements.
• Lead a team of UAT members in conducting UAT and responsible in working with users/development teams in achieving the project implementation on time.
• Conduct UAT kick off to communicate with users about overall features and UAT plan.
• Prepare Test Plans, Test scenarios and control Test Cases for overall features.
• Review UAT test cases/test scripts are covered on test scope.
• Incorporate with relevant stakeholders to prepare test data/test activities and environment readiness validation on UAT phase.
• Manage UAT teams to execute testing of the software applications per agreed timelines.
• Maintain test documentations such as UAT sign-off, test plans & test reports etc.
• Liaise with various development teams on UAT defects tracking & resolution.
• Ideal Candidate:
• Bachelor's degree in computer science, or a related field.
• 3 Year+ experience in Business analyst roles.
• Experiences working on Large integration projects with multiple stakeholders and organizations.
• Have a good knowledge of Software testing and software development life cycle.
• Experienced in core banking system s datasource attributes and use cases.
• Communicate proactively with all involved personnel to provide encouragement, identify problems, create solutions, and implement efficiency improvements.
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others.
• Experiences working with Banks or Financial Industries (Preferable).
• Understand Fraud Industry (Preferable).
• Have a Technical Background or coding experiences (Preferable).
• Very good communicating in English.
• Ability to handle multiple projects and tasks simultaneously.
• Able for traveling to the customer s site if require or flexible for relocation depending on the customer project based.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, English

ประเภทงาน:

งานประจำ

เงินเดือน:

฿45,000 - ฿60,000, สามารถต่อรองได้

• Job Position: System Analyst.
• As a System Analyst, you will be the one who is in charge of designing, transforming, modifying.
• and evaluating different systems to ensure compatibility, users efficiency and effectiveness. Moreover, you also turn user requirements into a set of functional specifications that suit our product solutions. You will also be a person who is accountable and responsible for the full life cycle of development to be able to deploy and de ...
• You ll work with our customer who is a Top 5 financial institution of Thailand and leverage a real-time Enterprise Fraud Solution platform which is the best in class in machine learning technique which is recognized in Gartner Market Guide for Online Fraud detection.
• This is a customer-facing role, you will works directly with the customer and delivery team to fully understand the business and deliver the solutions that are fit for purpose including support the customer and relevant technical stakeholders to integrate to our suite of products.
• Support the customer and their relevant technical team to integrate to our suite of products, designing and setting up their accounts, providing technical guidance, as well as assistance in troubleshooting and resolving incidents.
• Analyse and Designs a new IT solutions or systems, modify, enhance, or adapt existing system and integrate new feature or improvement including Design a data mapping between desired source into destination system.
• Defines the finalised scope and manage the project right though completion and post live monitoring, following clear and well-maintained project plans.
• Implement, configure, and test feasible solutions.
• Create the following documentation: Requirements documents, Feasibility studies, Design specifications, Flowcharts and diagrams, sign off document, Training documents, Deployment documents.
• Review product quality and fix problem to control the operation and troubleshoot the technical issues.
• Deploying new system as well as maintaining and upgrading existing systems as required.
• Prepare and Test system by executing system integration testing (SIT) in both functional and nonfunctional and verify / inspect software applications to meet the quality standard.
• Plan the schedule of the development task and manage to meet within the timeline.
• Produce status reports on assigned tasks to keep management appraised of development activities, issues, etc.
• Ensure that the production support handover is taken in place.
• Communicate proactively with all involved personnel to provide encouragement, identify problems, create solutions, and implement efficiency improvements.
• Ideal Candidate:
• Bachelor's degree in computer science, or a related field.
• 5 Year+ experience in system analyst roles.
• Experiences knowledge of a wide variety of programming languages and systems integration especially ETL and middleware programming such as RH Fuse.
• Experience installing, configuring, documenting, testing, training, and implementing new applications and systems.
• Strong analytical and proven ability to quickly understand complex business and systems and provide a suitable solution for clients.
• Experiences working on integration projects with multiple stakeholders and organizations.
• Experienced in core banking system s datasource attributes and use cases.
• Have a good knowledge of Software testing and software development life cycle.
• Communicate proactively with all involved personnel to provide encouragement, identify problems, create solutions, and implement efficiency improvements.
• Experience developing and deploying the enterprise solutions.
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others.
• Familiar with Open Source tools and microservices architecture design such as nginx, kafka, elastic search, MongoDB.
• Understand Fraud Industry (Preferable).
• Very good communicating in English.
• Ability to handle multiple projects and tasks simultaneously.
• Able for traveling to the customer s site if require or flexible for relocation depending on the customer project based.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

เงินเดือน:

฿21,000 - ฿35,000, สามารถต่อรองได้

• Generate knowledge about the current business process, design current business flows, study current business processes and its complication for prepare Flow, Diagram and AS-IS document.
• Perform configure as System and Application as AS-IS document, prepare test scripts for testing the configured scenarios.
• User manual preparation and training.
• Problem investigation and solve, including provide an advice or effective solution to users.
• Continuously maintain and improve the system to be smoothly run.
• Bachelor's degree in Computer Engineering, Computer Science, Business Computer, Information Technology, Account Information System, Management Information System or related fields.
• GPAX 2.70 for Bachelor s degree, and 3.30 for Master s degree.
• Good command in English (TOEIC at least 550 is required).
• Be able to work at Navanakorn Industrial Estate.
• Be able to manage dealer business data is advantage.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Software Development, SQL, Java

ประเภทงาน:

งานประจำ

เงินเดือน:

฿30,000 - ฿50,000, สามารถต่อรองได้

• Cooperate with Business Analyst and Project Manager.
• Able to travel to Client site.
• Liaise extensively with internal clients.
• Analyze the internal existing system and business model.
• Map and provide document interfacing between legacy and new system.
• Perform Agile Development Lifecycle.
• Conduct requirements analysis and prepare specification in User Stories.
• Prioritize the Task in Sprint Planning.
• Follow the project plan.
• Review Test Scenario (both SIT and UAT) from Tester.
• Provide Training and User Manual to users of new system.
• Keep up to date with technical development.
• Receive direction from Project Manager in carrying out the duties.
• Bachelor's Degree in Software Engineering, Computer Science or IT related field.
• Experience in Java Development, Web-based Technology and Database design.
• At least 2-3 years as Software Developer is a must.
• Experience in Java Framework and REST API.
• Able to co-operate with Business and Development.
• Experience in UML Design.
• Able to work under pressure.
• Benefit:
• Working day: Monday - Friday (9.00 - 18.00).
• Company Outing (inbound / outbound).
• Bonus.
• Course Training.
• Overseas Field Trip.
• Telephone Allowance.
• Laptop Allowance.
• Transport/Travel allowance.
• 10 Days Maximum Vacation.
• Health Insurance, Social Insurance, Health Checkup.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Understand Content goals and KPIs and be able to align reports and insights based on them. Identify and investigate trends, anomalies and opportunities to improve Agoda's Content strategy.
• Identify content opportunities that drive customer value, bookings and conversion.
• Help build business cases around the opportunity and get buy-in from stakeholders.
• Ensure appropriate data/tools/dashboards to measure execution and enable deeper analysis.
• Track execution and report up in regular updates.
• Work with product, data/BI team and IT to create data resources and build appropriate reporting.
• Work with Content team leads to understand their business needs and identify opportunities in terms of team actions prioritization and focus.
• Use multiple data sources to report Content projects insights and impact; support Content tests and experiments.
• Encourage and train the Content team in best practice use of Agoda data, analysis techniques and interpretation.
• Coordinate with other Cross Functional departments like Analytics, Partner Services, and Product Owners.
• Use Web-Analytics for Research and Analysis.
• Bachelor degree or higher.
• 2+ years of relevant experience.
• Experience / knowledge in statistics, SQL, Python/R, Tableau and advanced Excel - required.
• Ability to demonstrate data manipulation using data warehouse and create meaningful insight and visualization.
• Experience / knowledge in Vertica and / or Impala - advantage.
• Experience in generating data and / or preparing experiments for product development - advantage.
• Professional characteristics:
• Attentive to detail and committed to data integrity.
• Keen and curious nature; able and willing to share your opinion.
• Organized; able to manage multiple, competing priorities and deliver results under tight deadlines.
• Able to communicate effectively; fluent in English - both spoken and written.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #kualalumpur #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• 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.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Deliver reports and impactful insights to the operational Budgeting and Workforce planning.
• Partnering with P&A and People team stakeholders.
• Become familiar with processes and technology in support of Analytics products.
• Bachelor's degree required.
• At least 2-3 years of experience as data /reporting analyst with SQL querying proficiency.
• High level of discretion, confidentiality and ethics.
• Ability to work well with employees in a highly multi-cultural environment.
• Strong attention to detail and accuracy.
• Excellent communication and presentation skills.
• Be self-driven with strong ability to analyze and resolve complex problems.
• Experience with Tableau visualization.
• Experience with Vena software.
• Workforce planning and Budgeting experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #bangkok #thailand #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo 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 metabase analytics 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Performance tracking and modeling: Analyze data generated by supply and supply teams, develop models we can use for performance tracking and optimization, draw recommendations on your analysis.
• Support and participation in projects: Provide input on initiatives to reach business targets of the strategic projects you will be working on, run and then assess your proposed actions in collaboration with the relevant teams.
• Building tools: Create and deliver dashboards, automated reports, calculators and da ...
• What you'll need to succeed:
• Minimum 2 years of experience working in business analysis / data analytics / business intelligence/ consulting or financial modelling roles in e-commerce, tech, consulting or financial services companies.
• Bachelor's Degree or higher from a top university in a business analytics, engineering, statistics, quantitative, data or finance subject (e.g., BI, science, math or financial analysis).
• Ability to communicate fluently in English.
• Familiarity with SQL, Tableau, advanced Excel skills, which you were using on real work projects before.
• Proven track record in using data to measure performance, build reports and tools and make decisions.
• Intellectual curiosity, ability to learn fast.
• Ability to work under pressure in a fast-paced/rapidly changing environment.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience building automated analytical processes and functionality.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Use and analyse data from multiple large-scale data warehouses and understand data flows across the entire organisation.
• Identify, support, and lead projects aimed at scaling up the way the Supply organisation leverages on data, insights, and intelligence.
• Develop automated infrastructure supporting business intelligence at a global level as well as the analytics processes supporting them.
• Drive new analytical initiatives and projects aimed at improving organisational efficiency.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Bachelor's degree in a quantitative discipline.
• Experience in big data cleaning and wrangling as well as simple analytical processing (SQL is a must).
• Experience with visualisation tools (e.g. Tableau, Grafana, etc.).
• A basic understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience with ETLs in Hadoop ecosystem.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization data modelling 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• analyzing impact of higher performance of Customer Experience Specialists on customer satisfaction and loyalty.
• analyzing processes to improve Customer Experience Specialists productivity.
• assessing efficiency of recruitment programs for recruiting performant employees.
• Work with stakeholders to understand their business needs and identify opportunities for analysis insight to inform their decision-making.
• Understand and report to your team and senior management on business performance.
• Ensure delivery of regular reports on time and without error.
• Self-manage delivery of analytical projectsDefining the business problem.
• Determining the analytical approach.
• Efficiently extract relevant data.
• Appropriately use statistical and data analysis techniques.
• Sharing your findings using impactful data visualizations and efficient communication.
• Balance multiple priorities, updating stakeholders on progress and expected delivery.
• (Encourage and train department members in best practice use of Agoda data, analysis techniques and interpretation).
• Bachelor's degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results.
• 0-3 years work experience (Senior: 4+ years of relevant experience, preferably working with large datasets and experimentation).
• SQL proficiency required: can extract data from large databases using SQL to develop data queries.
• Excellent problem solving skills including the ability to analyze and resolve complex problems.
• Expert Excel user: able to understand and build complex spreadsheets.
• Strong business sense.
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds.
• Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressure.
• Fluent in English both spoken and written - additional languages are a plus.
• Attitude.
• Must be curious, proactive, practical and solution-oriented with "Get it done!" attitude.
• Must be data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels.
• Must want to tell an impactful story with analysis and smart data visualization, not just number crunch.
• Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience.
• Able to work in a highly multi-cultural team.
• Attentive to detail and committed to data integrity.
• Aware of the importance of discretion, confidentiality, and ethics.
• Good to have (but not required).
• Experience in management consulting.
• Expert in one data analysis package, such as R, Python or VBA.
• Experience with dashboarding / visualization software like Tableau.
• What we offer.
• Be part of a dynamic and exciting data-driven multinational team in a successful and fast growing tech company.
• A clearly defined career path will help you to continuously develop your skills.
• The chance to propose ideas to improve operations based on data and have an impact on the customer experience.
• Benefit:Relocation package for employees joining from abroad.
• International health insurance.
• Annual performance bonus.
• Parking fees reimburse.
• Discount for Agoda employee booking on Agoda.com.
• sydney #Melbourne #brussels #shanghai #beijing #prague #copenhagen #cairo #estonia #helsinki #paris #berlin #munich #hongkong #hcmc #dublin #telaviv #tokyo #kualalumpur #amsterdam #oslo #warsaw #krakow #moscow #singapore #seoul #barcelona #madrid #stockholm #taipei #bangkok #dubai #london #saintpetersburg #vilnius #budapest #newyork #sanfrancisco #losangeles ANLS #IT #4 #LI-MB1.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• 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.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• 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 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo 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 metabase analytics 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Performance tracking and modeling: Analyze data generated by supply and supply teams, develop models we can use for performance tracking and optimization, draw recommendations on your analysis.
• Support and participation in projects: Provide input on initiatives to reach business targets of the strategic projects you will be working on, run and then assess your proposed actions in collaboration with the relevant teams.
• Building tools: Create and deliver dashboards, automated reports, calculators and da ...
• What you'll need to succeed:
• Minimum 2 years of experience working in business analysis / data analytics / business intelligence/ consulting or financial modelling roles in e-commerce, tech, consulting or financial services companies.
• Bachelor's Degree or higher from a top university in a business analytics, engineering, statistics, quantitative, data or finance subject (e.g., BI, science, math or financial analysis).
• Ability to communicate fluently in English.
• Familiarity with SQL, Tableau, advanced Excel skills, which you were using on real work projects before.
• Proven track record in using data to measure performance, build reports and tools and make decisions.
• Intellectual curiosity, ability to learn fast.
• Ability to work under pressure in a fast-paced/rapidly changing environment.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience building automated analytical processes and functionality.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• What do customers care about the most, and what drives them to action? How can we best address it?.
• How do we define that a Customer is Engaged? And what's the correlation between Engagement and LifetimeValue?.
• What kind of behaviour are predictive of the value of a customer? Can we get more customers to show it, and how?.
• Is there a right sequence of information to deliver? What is the best channel for each customer and campaign? And how often can/should we get in touch? What should the message look like?.
• In this Role, you'll get to:
• Analyze: new ideas come from data and tests. Segment the userbase, understand their patterns, react to change in demand and identify new opportunities to deliver value.
• Test: prove your findings by A/B testing changes to any of our communication products. Define your hypothesis, design the framework, launch the campaign, collect and analyze the results of large scale, quick delivery tests.
• Innovate: Learn and develop new features, develop models we can use for optimization, build business cases for completely new implementations, and help us push the boundaries a little further every day.
• This role is good for you if you:
• Are naturally curious, with a focus on value: deliver all kind of insights, prioritizing by impact.
• Value independence and ownership: you will get goals and projects, not so much tasks.
• Have the ambition to make a difference: innovation and drive are necessary to succeed.
• Are ready to challenge anything: data matter, not opinions, seniority or common knowledge.
• What you'll Need to Succeed:
• A proactive, self-driven, exploratory approach to data.
• At least 2 years of experience in analytically focused positions.
• Good Hadoop/SQL and Tableau knowledge.
• Good knowledge of statistics and data processing practices (calculating p-values, data cleaning and normalization, regressions, etc.).
• It's Great if you Have:
• Experience with Customer Marketing/Customer Behaviour data.
• Working knowledge of Python or R.
• Master's Degree or higher from top university in a quantitative or marketing subject (statistics, engineering, digital marketing, financial modelling, etc.).
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo 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 metabase analytics 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• 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.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• 2+ years in Data Analyst position or otherwise in projects involving big data.
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• 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 #hongkong #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #singapore #tokyo #amsterdam #hcmc 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
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.