Data Analytics Manager

About the Role

We are looking for a Data Analytics Manager at Flip to lead our growing analytics function. In

this role, you won't just be generating insights—you will be building the team and the strategic

roadmap that drives Flip's marketing and product evolution. You will serve as a bridge between

technical execution and business strategy, ensuring that data is a core pillar of our mission to

provide fair financial services to all Indonesians.

About Flip

Flip was founded in 2015 by three friends from Universitas Indonesia — Rafi, Luqman, and Anjar — with the goal of making money transfers fairer for Indonesians. Today, millions of individuals and businesses trust Flip to send trillions of rupiah across banks every year.

We're backed by leading investors such as Sequoia India, Insight Partners, and Insignia, and our mission is simple: to give Indonesians access to one of the most progressive and fairest financial services in the world.

At Flip, we always strive to provide the fairest place for you to work, learn, and grow with talented and fun people in various opportunities to advance your career and get fair rewards. We believe that we have to treat employees, customers, and all stakeholders fairly and respectfully. Fair treatment for employees means we establish clear goals, facilitate our employees to achieve them, and value their contribution to the company with equitable benefits.

Key Responsibilities:

● Strategic Leadership: Define the analytics roadmap and vision to support Flip's long-term business goals in marketing and product development.

● Team Management & Mentorship: Recruit, manage, and develop a high-performing team of data analysts. Foster a culture of ownership, continuous learning, and technical excellence.

● Cross-Functional Partnership: Act as a strategic advisor to Marketing, Product, and Engineering leadership to identify growth opportunities and define success metrics.

● Analytics Governance: Oversee the development of standardized frameworks for customer segmentation, lifetime value (LTV), and product performance.

● Data Strategy: Partner with Data Engineering to influence data modeling, warehousing strategy, and the enrichment of our data ecosystem to ensure scalability.

● Impact Measurement: Champion a rigorous experimentation culture, overseeing the design and analysis of complex A/B tests and causal impact studies.

● Executive Communication: Synthesize complex analytical findings into compelling narratives and actionable recommendations for senior leadership and stakeholders.

Requirements:

● Experience: 7+ years of experience in data analytics, with at least 2+ years in a formal people management or team lead role.

● Technical Depth: Mastery of SQL and Python; expert-level experience with data visualization ecosystems (Looker, Tableau, Redash, Power BI etc)

● Business Acumen: Proven track record of using data to drive measurable business outcomes in user acquisition, retention, or monetization.

● Methodology: Strong foundation in statistics, including A/B testing, cohort analysis, and predictive modeling.

● Infrastructure: Hands-on experience with cloud-based data platforms (GCP/BigQuery preferred) and an understanding of data engineering workflows.

● Communication: Exceptional stakeholder management skills with the ability to influence decision-making at the executive level.

● Education: Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Computer Science, etc.).

Nice to Have:

● Experience in a Fintech environment or a high-growth startup.

● Advanced knowledge of marketing attribution models and marketing mix modeling (MMM).

● Experience overseeing data governance or data quality initiatives at scale.