Data Analytics Manager

Deskripsi pekerjaan

**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. - **O**wn 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