Job Description:
1) 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).
2) 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.
3) 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).
4) 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.
5) 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).
Requirements:
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.
