เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Digital Marketing, Google Analytics, Social media, Negotiation, Automation

ประเภทงาน:

งานประจำ

• Design and build interactive marketing dashboards (e.g., via Looker Studio) to track MQLs, conversion rates, and ROI across all channels.
• Track and analyze key marketing metrics (such as CAC, CPL, and sales pipeline contribution), delivering periodic performance reports with data-driven insights to optimize future strategies.
• Manage the local marketing budget to ensure maximum ROI, and report performance and strategic updates directly to the Country Manager.
• Partner with the local sales team on lead handover and conversion, while collaborating with Global HQ and strategic partners (e.g., Google Cloud Thailand) to drive co-marketing activities.
• Manage external marketing agencies and outsourced vendors to ensure high-quality execution and deliverables.
• Support the planning, management, and execution of events, tech seminars, and webinars to attract target audiences and convert them into potential leads.
• Support hands-on content creation and distribution across digital channels, including social media (Facebook, LinkedIn, and YouTube), tech blogs, and email campaigns.
• Report directly to the Country Manager on marketing performance, budget updates, and local strategic planning.
• Perform other duties as assigned by the supervisor.
• About you.
• Bachelor's degree in any field (Marketing, Communications, Business, or IT preferred).
• 2+ years of experience in B2B marketing, performance marketing, marketing analytics, or tech marketing (experience in the IT/Cloud/SaaS industry is highly preferred).
• Strong hands-on experience in data visualization and reporting tools, specifically Google Analytics 4 (GA4) and Looker Studio.
• Proven track record of tracking and optimizing B2B marketing metrics (e.g., CAC, CPL, MQL-to-SQL conversion, and pipeline velocity).
• Capable of managing end-to-end local marketing functions, with a willingness to support B2B event execution and partner marketing joint campaigns (e.g., with Google Cloud Thailand).
• Familiar with digital marketing platforms (Google Ads, Facebook Ads, LinkedIn Campaign Manager) and marketing automation tools.
• Familiar with productivity applications (Google Docs, Google Slides, Google Sheets, etc.).
• Fluent in English with excellent communication, negotiation, and stakeholder management skills.
• Social security fund.
• Work from home Allowance.
• Travel expenses (to office, customer, etc.).
• Company mobile and sim card / Laptop.
• Birthday day gift.
• Sales and marketing incentive (After passed probation period).
• Diligence Allowance (After passed probation period).
• Annual Bonus.
• Holidays as per Bank of Thailand financial institutions holiday calendar.

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Marketing Strategy, Digital Marketing, Leadership Skill, eCommerce, Power BI

ประเภทงาน:

งานประจำ

• Marketing Measurement & Incrementality.
• Own attribution and incrementality analysis for marketing spend - going beyond last-click or platform-reported attribution to assess the true causal impact of media investment.
• Design and interpret incrementality reads (e.g. holdout tests, geo experiments) and, where relevant, build or interpret marketing mix modelling (MMM) to separate incremental lift from correlation.
• Analyze cross-channel effects - for example, whether TikTok investment subsequently lifts Shopee or Lazada sales, shifts search behaviour, or drives new customer acquisition - rather than evaluating each channel in isolation.
• Customer Analytics.
• Run cohort analysis to understand acquisition, repeat purchase, and retention patterns across markets and channels.
• Build or interpret lifetime value (LTV) views, and identify which marketing activities are driving valuable, retained customers rather than only immediate conversions.
• Connect customer-level patterns back to media investment decisions - informing not just "did this campaign convert" but "did it acquire customers worth keeping.".
• Proactive Exploration & Insight Generation.
• Explore marketing and commerce data on your own initiative to surface non-obvious patterns and anomalies - this is a core expectation of the role, not a bonus behaviour.
• Present findings and recommendations directly to country marketing leads and regional leadership as a point of view, not just a finished chart.
• Use AI tools such as Claude where they genuinely accelerate this work - automated anomaly flags, drafting narrative summaries, natural-language querying - while keeping the analytical judgment and causal reasoning your own.
• Gather requirements from country marketing stakeholders and translate open-ended questions into structured data problems, working the hub-and-spoke model with the central Data Engineering / BI team in Vietnam and Indonesia.
• Write your own SQL, build/validate your own dashboards, and reconcile Marketing Dashboard numbers, escalating recurring data quality issues to the central Data Governance & Quality function.
• Maintain marketing metric definitions and methodology (including attribution and incrementality methodology) in Intrepid's BI Business Glossary, so the more advanced measurement work above stays consistent and reproducible across markets.
• Marketing Measurement & Statistical Capabilities - Core.
• Strong, hands-on grasp of attribution methodology beyond last-click or platform-reported numbers - multi-touch attribution and incrementality testing (e.g. holdout or geo experiments); hands-on MMM experience is a strong plus.
• Comfortable applying statistical/analytical techniques - experimentation and test design, regression analysis, and time-series/cohort analysis - to answer causal questions about media impact, not just describe correlations.
• Demonstrated ability to reason about cross-channel effects (e.g. does TikTok spend show up in Shopee/Lazada sales, search demand, or new customer acquisition) rather than analyzing each platform in isolation.
• Customer Analytics.
• Practical experience with cohort analysis, customer acquisition and repeat purchase/retention metrics, and lifetime value (LTV) modelling.
• Ability to distinguish marketing activity that drives immediate conversion from activity that drives durable, valuable customers.
• Analytical Curiosity.
• A track record of exploring data unprompted and surfacing findings nobody explicitly asked for - we will assess this directly, not just requirements-gathering or dashboard delivery skills.
• Technical & Data Capabilities.
• Hands-on SQL and dashboarding experience (e.g. Apache Superset, Looker, Power BI, or similar), with the ability to validate and reconcile data from multiple sources yourself.
• Experience with or exposure to e-commerce marketplace data (Shopee, Lazada, TikTok Shop) is a strong plus, given Intrepid's Martech and Analytics focus.
• Comfortable using Claude or other GenAI tools to accelerate analysis - SQL generation, summarizing large datasets, drafting narratives. Valuable, but secondary to the measurement and statistical capabilities above; we weight causal reasoning ability well above GenAI or low-code tool fluency.
• Marketing Domain & Business Analyst Capabilities.
• Solid understanding of marketing strategy - media mix, channel economics, campaign planning - sufficient to frame the right measurement questions.
• Baseline requirements-gathering and stakeholder management skills, with the ability to operate with minimal oversight across multiple country marketing teams. This is expected competence, not the primary differentiator for this role.
• Excellent communication skills, able to explain causal/statistical findings to a non-technical marketing audience without losing the nuance.
• Preferred Experience.
• 6+ years of experience with meaningful exposure to marketing measurement, growth/customer analytics, or applied statistics - not simply BA or dashboard-reporting experience.
• Hands-on experience with an MMM framework (e.g. Robyn, LightweightMMM) or having designed and run incrementality/holdout tests.
• Prior experience in e-commerce, marketplaces, or digital marketing in Southeast Asia.
• Experience covering multiple markets or countries remotely from a regional hub.
• Prior experience building or piloting an AI-assisted analytics workflow is a plus - but not a substitute for the statistical and measurement depth above.

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• คุณสมบัติสำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Data Entry, CPA

ประเภทงาน:

งานประจำ

• Marketing Data Centralization.
• Collect, consolidate, and manage marketing data from multiple sources (Google, Meta, TikTok, Line OA, etc.).
• Develop and maintain a centralized data system/dashboard for tracking KPIs.
• Ad Performance Analysis.
• Monitor, analyze, and report on ad campaign performance (CPL, CPA, ROAS, CTR, etc.).
• Provide recommendations to optimize campaigns based on data-driven insights.
• Support performance marketing team with testing hypotheses and scaling winning strategies.
• Data Entry & Accuracy.
• Ensure all marketing data is entered correctly and updated in a timely manner.
• Perform regular audits of marketing datasets to maintain data integrity.
• Formula & Reporting Expertise.
• Build advanced Excel/Google Sheets reports with formulas, pivot tables, and automated dashboards.
• Generate regular performance reports for management, highlighting insights and trends.
• Cross-Functional Collaboration.
• Work closely with the Performance Marketing team to align reporting with business objectives.
• Support Marketing Communication, Content, and Event teams with data insights.
• Provide data to support budget planning, forecasting, and campaign evaluations.

ทักษะ:

Statistical Analysis, Digital Marketing, Power point, Leadership Skill, Branding

ประเภทงาน:

งานประจำ

• Engage in marketing insights projects to analyse data and performance and effectively communicate findings.
• Translate client business & marketing problems into analytical problems, and recommend suitable approaches to address the client's issues.
• Help clients identify the right marketing key performance indicators (KPIs), highlight areas of improvement, and influence strategy.
• Extract and process large quantities of relevant data to help create meaningful reports /dashboards as per the client's requirements.
• Use analytic techniques such as statistical analysis (test vs. control), customer segmentation and ROI analysis to derive insights.
• Deliver results of statistical analyses, in the form of dashboards & PowerPoint reports.
• Implement data & analytics solutions and provide recommendations that drive results for client campaigns and larger business objectives.
• Solve challenging business problems creatively, efficiently, and independently, especially when faced with time and operational constraints or ambiguity.
• Deliver on multiple initiatives in the same time frame with minimal supervision.
• Enough about us, let's talk about you.
• Strong academic degree in Marketing Analytics, Business, Computer Science, or related disciplines.
• Advance knowledge of PowerPoint, including the ability to use PowerPoint to communicate analytical insights effectively to stakeholders.
• Experience with impactful data-related or analytics projects and visually presenting and communicating findings with minimal supervision.
• Experience in communicating and collaborating with cross-functional teams (e.g., marketing, sales, finance, business analytics, and engineering) at various levels (e.g., peers to senior leadership).
• Experience and comfort with using and analysing large data sets.
• Intermediate/Advanced knowledge of SQL.
• Expertise in digital/growth marketing within fast paced and dynamic market environments. You will also have a sound understanding of direct response metrics and an ability to measure program/campaign ROI and a proven ability to manage paid social campaigns.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Appsflyer, Thai

ประเภทงาน:

งานประจำ

Responsible for running and optimizing app acquisition campaigns. Closely monitor performance app acquisition of responsible campaigns and perform on-going analysis, learning, reporting and optimization plan for active campaigns/activities to ensure KPI achievement. Work closely with media planners and marketers to develop effective online media buying plans to ensure KPI achievement as well as manage execution and budget allocation. Provide recommendations for performance improvement and tracking tools when needed Take the ownership and initiate optimization strategies. Analyze an ...

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Product Development, Marketing Strategy, Digital Marketing, Recruitment, Automation

ประเภทงาน:

งานประจำ

• 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.
• 2-4 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.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Marketing Strategy, Digital Marketing, eCommerce, Negotiation

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.
• 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 product teams on implementation roadmap.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Quality Assurance, Industry trends, Negotiation, Power point, Purchasing

ประเภทงาน:

งานประจำ

• We are a leading Automotive Connector Company looking for a skilled Account Manager to join our team. As an Account Manager, you will be responsible for building and maintaining relationships with key clients in the automotive industry in ASEAN (Thailand/Malaysia/Philippines/Singapore). You will play a pivotal role in ensuring customer satisfaction and will be primarily responsible for retaining and growing accounts while also developing new business opportunities. We are looking for an individual who is a driven sales professional with a deep understanding of the automotive indust ...
• Developing and executing account strategies to meet revenue targets and increase market share for automotive connectors and other key product folio Drive, report, monitor key metrics to achieve sales KPI which aligned with organization goal, which are new business wins (TERP), Revenue achievement and margin Building and maintaining strong relationships with existing clients, including regular communication Identifying and pursuing new business opportunities with potential clients in the automotive industry for 7 years revenue pipeline Drive new business with customer engineer & purchasing through sales & marketingactivities plan Maintaining up-to-date knowledge of industry trends, competitors, and customer needsto drive sales growth Collaborating with cross-functional teams in ASEAN and Global team, including sales,engineering, production, and quality assurance, to ensure consistent delivery of high-quality products and services, and other Sales KPI Negotiating pricing, contracts, and delivery terms with clients to maximize profitability and customer satisfaction Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork.

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Quantitative Analysis, Digital Marketing, Tableau, SQL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Get to Know our.
• The New Activities marketing Team of Agoda leads the marketing for new products such as flights, activities and trips.
• The team is looking for an Analyst to help us scale up our new business for Activities, improve our targeting and execute on ideas reaching millions of customers and driving a significant share of Agoda's overall performance.
• Learn: Boost your efficiency and grasp marketing tactics to enable the growth.
• Add Value: Accelerate our innovation by launching and testing ideas, multiplying team success.
• Test: Validate your ideas with A/B testing, shaping our communication strategy. Every idea, including yours, is vital.
• Seeking dedicated and self-motivated individuals ready to make an impact: Expect a dynamic and rewarding environment where commitment and a drive to excel are essential. You'll embark on an enriching journey, gaining invaluable skills, albeit in a demanding yet stimulating setting.
• Embrace the potential for personal and professional growth: We invest in long-term development, offering diverse career paths including transition into other functions such as supply, partnerships etc.
• driven by your competencies and aspirations.
• Join us in our pursuit of innovation and excellence: At Agoda, settling is not an option. We advocate for perpetual enhancement, equipping you with the skills to critically assess performance, analyze data, ideate, and empirically test your initiatives, propelling both your growth and ours.
• What you'll Need to.
• Bachelor's Degree or higher from top university.
• Committed to delivering on promises, showing determination to meet goals.
• Eager to learn and improve: Strive for efficiency, not just execution.
• Basic understanding of statistics required.
• High degree of ownership.
• Exposure in quantitative analysis: Advanced Excel skills required,.
• SQL and Tableau knowledge advantageous.
• Ability to communicate fluently and confidently in English.
• It's Great if you.
• Experience with Digital Marketing / Campaign Execution.
• Proficiency in SQL and Tableau.
• STRA#ANLS#MRKT#3#LI-TR2.

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Digital Marketing, Data Analysis, Negotiation, Recruitment, Leadership Skill

ประเภทงาน:

งานประจำ

• 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.
• Bengaluru.
• 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.

ทักษะ:

Salesforce, Digital Marketing, English, Thai

ประเภทงาน:

งานประจำ

• We believe the future of digital marketing belongs to deep generalists who are tool-savvyL able to plan media, test strategy, and use AI and creative platforms to prototype and scale winning ideas fast.
• A Growth Marketing Analyst is a multidisciplinary role that combines the skills of someone who does media strategy, media planning, ad operations and client management all in one. You get full ownership of your own clients, where you try to come up with the right mix of strategies and tests, scaling what works, while also navigating a ...
• You do not need a background in digital marketing to do well in this role. We believe that if you have a strong passion for digital marketing, have a growth mindset and a desire to continuously learn and improve, and want to make an impact in helping our clients and our team grow, youll be the right fit in this role.
• What would I do as a Growth Marketing Analyst?.
• Develop, implement and test digital marketing strategies across channels to find the best method to grow each of our unique clients.
• Launch and optimize campaigns across the platforms that matter most to our clients: from Meta and Google to TikTok and e-commerce ads, adapting fast to what works.
• Conduct data-driven (A/B) testing of creatives, audiences, landing pages, ad copy and campaigns to improve key metrics down the marketing funnel.
• Manage and allocate budgets across campaigns and platforms to maximize ROI.
• Work with our tech team to ensure proper tracking, attribution, and insights, using tools like GA4, Meta Events Manager, and conversion APIs.
• Communicate directly and proactively with clients regarding campaigns performance, owning client growth outcomes: if a channel isnt working, you find another way.
• Develop full-funnel marketing strategies, from idea to execution, with minimal handholding: at the bottom of the funnel you will get to improve retention and work within CRM systems, like HubSpot and Salesforce.
• Regularly brainstorm and closely collaborate with our other teams - i.e. creative, tech - to come up with new ideas for tests or ways to improve.
• Understand clients business model and their unique challenges, audiences, messaging and brand positioning.
• Adopt a client oriented approach to strengthen client working relationships.
• Use 20% of your time to contribute beyond client work, whether thats building internal tools, testing new services, or co-creating the future of marketyze with the team.
• How would you describe the right candidate for this position?.
• Has an interest in kick-starting their career in digital marketing.
• Looks for a steep learning curve.
• Enjoys challenges and is willing to take on responsibility.
• Has a curious mind that likes experimenting, testing and seeing the results from their ideas.
• Is good with numbers.
• Proficient in Thai and English languages (written and spoken).
• Fits in our culture (see more below) & matches our five values: has a growth mindset, takes ownership, looks for continuous improvement, is dedicated and is results-oriented.
• Do I need previous digital marketing experience?.
• Previous professional digital marketing experience isnt required. Nevertheless, we will have a strong preference for candidates who have demonstrated some degree of interest in the field one way or another. For example, having managed a Facebook page or having completed a digital marketing course (online or at university) will be highly beneficial to your application.
• How would you describe your company culture?.
• We are ambitious and curious individuals who try to do better and grow every day - for our clients and for ourselves. Growing professionally and personally simply gives us enjoyment and satisfaction. Within the team we recognize each others talents and unique personalities. We are all different yet proudly part of the same team. Everyones voice matters and we treat each other equally and with respect. Were tightly knit so on a daily basis we work closely together and support each other. But its not all work! Cracking jokes, doing pranks, laughing out loud, doing team outings and having fun in general is just as important. In the end cherishing these moments is what gives life best memories meaning. In short: Work hard and have fun!.
• What would be my career path?.
• The most likely career path for you would be to become a Senior Growth Marketing Analyst within a year. Successful promotion requires demonstrating ambition to grow professionally, a noticeable improvement in hard and soft skills as well as the desire to lead other team members.
• What can I expect working in marketyze?.
• No day will be the same, and you will grow quickly.
• Competitive compensation: 20,000 - 30,000 THB gross monthly salary.
• Salary increment of 7% - 10% every 6 months.
• Fixed bonus of 0.5 month's salary every 6 months (after one year with us).
• Hybrid working.
• 14 days of annual leave.
• Birthday leave: enjoy a special day off on your birthday (or any day within your birth month) to relax and celebrate your day!.
• Happy Friday: every third Friday of the month all team members can leave the office early, at 3 pm.
• International working style and environment.
• Professional performance evaluation every month.
• Transparent career path.
• Group health insurance (OPD and IPD).
• Monthly team activity planned by our CEO (Chief Entertainment Officer).
• Monthly team lunch planned by our CFO (Chief Food Officer).
• Beer budget every month for team members to use on food or drinks for bonding sessions.
• Allowance for key trainings and development e.g. full reimbursement for presentation training by Toastmasters.
• Laptop allowance if you choose to use your own laptop instead or 50% support of your new MacBook Air M2.
• Continuous testing of our benefits & policies to never stop improving our environment.
• What does the application process look like?.
• Send your CV and cover letter to [email protected].
• If you match our profile we will promptly share a 40-minute online analytical test, as well as a test that would verify your on-the-job skills.
• If successful with the test(s), we will schedule a first-round general interview in our office with three people: our CEO, your future supervisor in the role and our people ops & talent associate. If an in-person interview is not possible, alternatively the interview will be held online. The interview will consist of three parts: 1) your introduction, 2) questions from us to you, 3) questions from you to us: you can ask anything to anyone, as much as you like or time allows.
• If successful on the first round interview, there will be a case study in Excel format and a second round remote interview with our co-founder. The format of the interview as well as the line of questioning is identical to the first round, but here we will likely ask further on aspects of you we would like to know more about.
• If successful on the second round interview, we will schedule a third round cultural fit interview with your future supervisor as well as two other team members (in Thai). The goal of this interview is to make sure you fit well in our team & culture, and thus the line of questioning will revolve around establishing this.
• Done! By the end of the same week your third round cultural fit interview is held, you will hear the final result, which is either an offer letter or a rejection email.
• Find our email as sent from our domain @marketyze.io with the subject: Thank you for applying! | [role] | marketyze | [month year] | [your name].
• Mark our email(s) as not spam.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Project Management, Digital Marketing, Recruitment, Tableau, YouTube

ประเภทงาน:

งานประจำ

• Experiment: Conduct A/B testing on platforms like Facebook, Instagram, Twitter, TikTok and YouTube, as well as brand research in-house & with external agencies to demonstrate the impact of campaign activity on brand awareness.
• Execute: Own the performance of digital & social campaigns, optimize critical campaign metrics, and keep an eye on data to ensure that media is delivering against the plan.
• Learn: Communicate test results & campaign learnings to the team and broader stakeho ...
• Analyse: Delve into data from digital tests & research studies to gather useful insights for optimization of brand campaigns.
• Collaborate: Liaise with external media partners (e.g. Google, Meta) for planning, analysis and execution, and consolidate media data and analysis with digital activity being run in-house.
• A minimum of a bachelor's degree in mathematics, marketing, communication, business, or another related field.
• At least 2 years of experience in analytically focused positions.
• Great SQL & Tableau knowledge.
• Advanced knowledge of Excel, very comfortable using VLOOKUP and Pivot Tables.
• Great project management, measurement, and planning capability; taking ownership from the start to the finish.
• Knowledge of statistics and data processing practices (calculating p-values, data cleaning and normalization, regressions, etc.) is a plus.
• Bengaluru.
• 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.