We are looking for a data analyst at Flip. You will be responsible for managing data discovery and insights generation for key initiatives. In this role, you will also be expected to collaborate with Data Engineers to improve and enrich existing state of data to meet current as well as possible future use cases.
About Flip
Rafi, Luqman, and Anjar, who were college friends in Universitas Indonesia, started Flip as a project in 2015 to transfer payments to each other at a fraction of what banks would charge them. They are pioneers in the Indonesian market, with their technology now helping millions of Indonesians, both individuals and businesses, carry out bank-to-bank money transfers through a reliable and seamless app.
After nine years of operations, Flip has helped Indonesians transfer money worth several trillions of rupiah and has received double-digit funding from respectable investors such as Sequoia India, Insight Partner, and Insignia. Flip’s ultimate mission is 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.
What You'll Do
Partner with product managers, marketers, and other cross-functional stakeholders to analyze user behavior and marketing performance
Design and evaluate A/B tests and other experiments to drive product and growth improvements
Build dashboards and reports to track key performance indicators (KPIs) and uncover trends.
Use forecasting models to help predict user growth, revenue, or campaign performance.
Communicate findings clearly and effectively to technical and non-technical audiences.
Collaborate closely with data engineering and other analysts to improve data infrastructure and tooling.
What We’re Looking For
2+ years of experience in an analytics role, ideally in a product or marketing analytics environment.
Strong SQL skills and experience working with large datasets and cloud-based data platforms (e.g., BigQuery, Snowflake) [GCP preferred]
Has working experience working with python/R for data analysis and modeling
Experience with experimentation frameworks (e.g., A/B testing, holdout tests).
Familiarity with forecasting techniques (e.g., time series models, regression).
Comfortable with data visualization tools (e.g., Looker, Tableau, Power BI) and storytelling with data
Experience with tools like dbt or Amplitude/MoEngage is a big plus
You’ll Thrive Here If You
Are intellectually curious and love getting to the "why" behind the numbers
Enjoy leveraging technology and collaborating across teams
Can balance speed and rigor when delivering insights
Have a proactive and ownership-driven mindset
