Data Analysis jobs in United States

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 data to meet current and future use cases.

Rafi, Luqman, and Anjar, college friends from Universitas Indonesia, started Flip in 2015 to transfer payments at a lower cost than banks. They are pioneers in Indonesia, with their technology now helping millions of Indonesians and businesses conduct bank-to-bank money transfers seamlessly.

After nine years, Flip has transferred trillions of rupiah and received funding from investors like Sequoia India, Insight Partners, and Insignia. Our mission is to provide Indonesians with access to progressive and fair financial services.

At Flip, we strive to create a fair workplace where you can learn and grow with talented colleagues. We are committed to treating employees, customers, and stakeholders with fairness and respect, establishing clear goals, and providing equitable benefits.

1. Partner with product managers, marketers, and stakeholders to analyze user behavior and marketing performance.
2. Design and evaluate A/B tests and experiments to improve products and growth.
3. Build dashboards and reports to track KPIs and identify trends.
4. Use forecasting models to predict user growth, revenue, or campaign performance.
5. Communicate findings clearly to both technical and non-technical audiences.
6. Collaborate with data engineering and analysts to enhance data infrastructure and tools.

1. At least 2 years of experience in analytics, preferably in product or marketing analytics.
2. Strong SQL skills and experience with large datasets and cloud platforms like BigQuery or Snowflake (GCP preferred).
3. Experience with Python or R for data analysis and modeling.
4. Experience with experimentation frameworks such as A/B testing.
5. Knowledge of forecasting techniques like time series models and regression.
6. Proficiency with data visualization tools like Looker, Tableau, or Power BI.
7. Experience with tools like dbt or Amplitude/MoEngage is a plus.

1. Are curious and love understanding the 'why' behind the numbers.
2. Enjoy leveraging technology and collaborating across teams.
3. Can deliver insights with both speed and rigor.
4. Have a proactive, ownership-driven mindset.