Senior Data Analyst (Analytics Engineer)

We are looking for a Senior Data Analyst at Flip. You will be responsible for managing data discovery and insights generation for business & product improvement. Also, you will collaborate with Data Engineers to improve the data quality and resolve data.

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 five 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

• Develop and Implement Dashboarding Best Practices: Lead the standardization and centralization of dashboarding frameworks, ensuring consistent, insightful, and user-friendly visualizations across teams;

• Empower Self-Serve Analytics: Collaborate with stakeholders to design and deploy scalable, intuitive analytics solutions and tools, enabling teams to access and interpret data independently;

• Optimize ETL Pipelines for Scalability: Build and maintain efficient ETL processes to ensure reliable, accurate, and timely delivery of data to support analytics and reporting needs;

• Develop and maintain reliable data models to support key business metrics;  

• Create and implement processes to ensure data quality and accuracy;

• Handle data discovery, exploration, and insights generation for business and product improvements;

• Experience in coaching, guiding and leading projects alongside junior team members.

What you'll need

• 4+ years of data analytics experience;

• Bachelor’s degree in System Information, Computer Science, Mathematics, Statistics, or related fields from a reputable university;

• Advanced SQL and data manipulation skills;

• Data wrangling experience with Python/R;

• Advanced Excel knowledge;

• Good experience with one or more databases like Snowflake, BigQuery, Redshift, Postgres, Oracle, Teradata, MySQL etc;

• Excellent data visualization skills using Tableau/Looker or other data visualization tools;

• Detail-oriented with a focus on accuracy.