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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.
Job Responsibility
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
Requirements
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
Nice to have
Intellectually curious
Love getting to the 'why' behind the numbers
Enjoy leveraging technology and collaborating across teams
Can balance speed and rigor when delivering insights