• Business & Performance Analytics

• Analyze BD performance across the funnel (e.g., acquisition > activation > performance), merchant investment, and key productivity indicators; translate findings into actionable recommendations.

• Perform rapid KPI spot-checks when metrics move unexpectedly: identify what changed, isolate where it changed, assess likely drivers, and recommend next steps.

• Conduct deep-dive analyses using hypothesis-driven approaches and structured root-cause logic (MECE frameworks) to uncover growth levers and performance gaps.

• Build clear narratives that connect analysis to decisions (trade-offs, impact size, confidence level, and recommended actions).

• KPI Framework & Planning Support

• Maintain and improve KPI frameworks: metric definitions, calculation logic, reporting cadence, and a single source of truth.

• Support periodic planning cycles (half-year / annual) by building bottom-up projections: gather assumptions and action plans from stakeholders, translate them into topline forecasts, scenario models, and risk/opportunity assessments.

• Partner with BD leaders to set targets grounded in data, historical trends, and market context; ensure assumptions are explicit and measurable.

• Monitor forecast accuracy and refine drivers/assumptions over time.

• Data Quality, Logic Validation & Governance

• Validate data integrity end-to-end from raw sources to final outputs through sanity checks, reconciliation, outlier detection, and metric logic validation.

• Proactively debug discrepancies and collaborate with BI, Product, and Ops teams to resolve tracking or pipeline issues.

• Document metric definitions, assumptions, known limitations, and any changes to calculation logic to ensure transparency and repeatability.

• Establish simple guardrails to prevent common analytics errors (e.g., duplicate joins, wrong partitions, misaligned time zones).

• Dashboards, Reporting & Automation

• Build and maintain dashboards and recurring reports that are accurate, scalable, and designed for self-serve consumption.

• Drive efficiency by automating repetitive workflows (alerts, exports, validation routines) where possible.

• Contribute to analytics infrastructure improvements: templates, playbooks, metric QA checklists, and standardized reporting practices.

• Project Execution & Cross-Functional Collaboration

• Partner with BD, Marketing, Product, Ops, and Data teams to define success metrics and measurement plans for key growth initiatives.

• Evaluate initiative impact using practical measurement approaches (e.g., before-after, segmentation, holdout logic where feasible) and communicate results with clarity.

• Own analytics workstreams end-to-end from problem framing and stakeholder alignment to delivery and follow-through (with broader ownership expected at Senior Associate level).

Requirement: Must-Have

• Bachelor's degree or higher in Business, Economics, Analytics, Engineering, Statistics, or a related quantitative field.

• Does not "trust the number" at face value, able to validate raw data, trace calculation logic, and challenge assumptions before concluding.

• Strong MECE thinking with the ability to plan and execute quickly under ambiguity; comfortable breaking open-ended problems into clear analytical steps.

• Proficient with CTEs, multi-table joins, window functions, aggregation, and debugging complex query logic in large-scale data environments.

• Advanced Excel / Google Sheets skills; strong modelling ability and comfort working with large datasets.

• Clear and concise in both Thai and English (written and verbal); able to present findings to technical and non-technical audiences.

Requirement: Nice-to-Have

• Data Visualization: Tableau, Power BI, Looker Studio (or similar).

• Automation & Scripting: Python for analysis/automation; Google Apps Script is a strong plus.

• Industry Experience: Marketplace, e-commerce, food delivery, or other fast-paced tech environments.

• Experimentation Mindset: Familiar with hypothesis design, guardrail metrics, and measurement discipline in A/B or quasi-experimental settings.

• Stakeholder Ownership (Senior-leaning): Experience independently driving cross-functional projects to completion.