Growth & Insights Data Analyst for Product & Marketing

Flip; Cilangkap; On-site; IDR 240,000,000 - 360,000,000; Full time

Job summary

Flip is seeking a data analyst to manage data discovery and insights generation for key initiatives. You will collaborate with Data Engineers to improve and enrich data to meet current and future use cases.

You will partner with product managers and marketing teams to analyze user behavior, design experiments, and build dashboards to track KPIs. Strong SQL and Python/R skills are required for analysis and modeling.

Qualifications

• 2+ years of experience in an analytics role, preferably in a product or marketing analytics environment.
• Strong SQL skills and experience with large datasets and cloud-based data platforms (BigQuery, Snowflake).
• Experience with Python or R for data analysis and modeling.
• Experience with experimentation frameworks (A/B testing, holdout tests).
• Familiarity with forecasting techniques (time series models, regression).
• Comfortable with data visualization tools (Looker, Tableau, Power BI) and storytelling with data.
• Experience with dbt or Amplitude/MoEngage is a big plus

Responsibilities

• 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 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

Skills

SQL

Python

R

Forecasting

Experimentation

Storytelling

Tools

BigQuery

Snowflake

dbt

Amplitude

MoEngage

Looker

Tableau

Power BI

Job description

Flip is seeking a data analyst to manage data discovery and insights generation for key initiatives. You will collaborate with Data Engineers to improve and enrich data to meet current and future use cases.

You will partner with product managers and marketing teams to analyze user behavior, design experiments, and build dashboards to track KPIs. Strong SQL and Python/R skills are required for analysis and modeling.