Job Description

Data Analytics Manager (BukuWarung)



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

1.  Business Impact & Stakeholder Partnership (Primary Focus)
   𖧹  Partner with Product, Risk, Marketing, and Operations to define key metrics, targets, and success criteria.
    𖧹 Translate ambiguous business problems into structured analytical approaches and actionable recommendations.
    𖧹  Own analytics outcomes across  lending, EDC, and retail, with clear accountability for business impact.
   1. Drive insights and decisions across:
      1. Lending ( credit risk, underwriting, PD drivers)
      2. EDC performance ( TPV, device utilization)
      3. Growth funnels ( CAC, LTV, conversion, retention)
2. Team Leadership & Analytics Strategy
   𖧹 Lead and mentor a team of Data Analysts, setting a high bar for analytical rigor and business impact.
   𖧹 Define team priorities, allocate resources, and manage trade-offs across competing requests.
   𖧹 Build a strong analytics culture focused on ownership, clarity, and decision-making impact.
   𖧹 Establish best practice in:
   
   1. Problem structuring.
   2. Experimentation.
   3. Data storytelling.
3. Analytics & Experimentation
   𖧹  Guide and review analytical work, ensuring quality and business relevance.
   𖧹 Ensure insights are translated into clear actions and measurable outcomes, not just reports.
   𖧹 Design and oversee:
   1. Funnel analysis ( activation, retention, monetization)
   2. A/B testing and geo-lift experiments.
   3. Cohort and segmentation analysis.
4. Data Infrastructure & Governance
   𖧹 Work closely with Engineering/Data teams to ensure scalable and reliable data system
   𖧹 Define requirements and roadmap for data marts ( BigQuery), transformation layer ( dbt), metrics standardization ( single source of truth)
   𖧹 Drive improvements in:
   1. Data quality and consistency.
   2. Self-serve analytics adoption.
   3. Documentation and data discoverability.
      
5. Hands-on Contribution ( Player-Coach Expectation)
    𖧹  Stay close to the data by being hands-on in high-priority or complex analyses
     𖧹  Review and guide SQL, dashboards, and analytical outputs produced by the team.
     𖧹  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