Data Analytics Manager (BukuWarung)
Role Summary
We are hiring a Data Analytics Manager to accelerate BukuWarung's next phase of growth across lending, EDC, and retail products, where decision-making today remains fragmented across teams and data sources.
This role will be critical in establishing a clear single source of truth, improving decision speed, and driving measurable business impact. You will lead a team of analysts while remaining hands-on, working closely with Product, Engineering, Risk, Marketing, and Operations to solve high-impact business problems.
Key Responsibilities:
Business Impact & Stakeholder Partnership (Primary Focus)
- Partner with Product, Risk, Marketing, and Operations to define key metrics, targets, and success criteria.
- Translate ambiguous business problems into structured analytical approaches and actionable recommendations.
- Own analytics outcomes across lending, EDC, and retail, with clear accountability for business impact.
- Drive insights and decisions across:
- Lending (credit risk, underwriting, PD drivers).
- EDC performance (TPV, device utilization).
- Growth funnels (CAC, LTV, conversion, retention).
Team Leadership & Analytics Strategy
- Lead and mentor a team of Data Analysts, setting a high bar for analytical rigor and business impact.
- Define team priorities, allocate resources, and manage trade-offs across competing requests.
- Build a strong analytics culture focused on ownership, clarity, and decision-making impact.
- Establish best practice in:
- Problem structuring
- Experimentation
- Data storytelling
Analytics & Experimentation
- Guide and review analytical work, ensuring quality and business relevance.
- Ensure insights are translated into clear actions and measurable outcomes, not just reports.
- Design and oversee:
- Funnel analysis (activation, retention, monetization)
- A/B testing and geo-lift experiments.
- Cohort and segmentation analysis.
Data Infrastructure & Governance
- Work closely with Engineering/Data teams to ensure scalable and reliable data system.
- Define requirements and roadmap for:
- Data marts (BigQuery),
- Transformation layer (dbt),
- Metrics standardization (single source of truth)
- Drive improvements in:
- Data quality and consistency.
- Self-serve analytics adoption.
- Documentation and data discoverability.
Hands-on Contribution (Player-Coach Expectation)
- Stay close to the data by being hands-on in high-priority or complex analyses.
- Review and guide SQL, dashboards, and analytical outputs produced by the team.
- Step in when needed to unblock business problems or ambiguous analysis.
Note: This role is expected to be
hands-on for high-impact work, while primarily focusing on driving team output and business outcomes rather than individual execution
Requirements:
Must-have
- 5-7 years in Data Analytics / BI / Product Analytics
- 1-2 years managing a team
- Strong SQL
- Experience in fintech / lending/ payments / marketplace
- Strong stakeholder management (Product, Biz, Risk)
Good-to-have
- Experience with:
- dbt
- Mixpanel / Amplitude
- Experimentation frameworks
- Knowledge of:
- Credit risk / underwriting
- Marketing analytics (CAC, LTV, attribution)
- Python Scripting
