Sr Product Analyst

HR Business Partner @ Home Credit Indonesia What You'll Do:

Monitoring product performance across key metrics. Identify trends, patterns, and correlations in customer and transaction behavior, providing actionable recommendations that support growth.

Develop, maintain, and enhance dashboards and reports to monitor KPIs, ensuring data accuracy, consistency, and accessibility for key stakeholders.

Design and implement automation solutions to streamline reporting and analysis processes, while managing and maintaining data marts to ensure data integrity and quality.

End-to-end campaign analytics: from logic design and lead targeting to A/B testing setup, performance evaluation, and reporting. Synthesize campaign results into clear conclusions and strategic recommendations for future initiatives.

Evaluate pilot experiments to identify the most effective strategies for customer acquisition and engagement.

Leverage analytical tools such as Google Analytics, Appsflyer, and attribution models to track customer journeys, funnel drop-offs, cost per acquisition, and channel contribution, providing actionable insights to optimize marketing spend and improve ROI.

Collaborate with product, digital marketing, commercial, and cross‑functional teams to address business challenges, refine strategies, and identify data‑driven opportunities.

What You'll Need:

Education

Bachelor’s degree in Science, Statistics, Analytics, Computer Science, Engineering, or a related field.

Experience

- 5+ years of experience in product analytics, digital analytics, marketing analytics, or a similar data‑driven role.

- Experience in consumer finance, loans, BNPL or financial services.

Technical Skills

- Strong skills in SQL and python for querying and managing large datasets.

- Hands‑on experience with data visualization tools such as Tableau, Power BI, or Looker.

- Familiarity with scripting or automation tools (e.g., Python, or Excel VBA) to streamline reporting and analysis tasks.

- Understanding of data management principles, including data integrity, quality assurance, and data mart maintenance.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Analyst and Product Management

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