Mobile App Growth Strategist

The ideal candidate will have a proven track record of leveraging data analytics to drive business growth and optimize marketing campaigns.

They should possess expertise in SQL, Metabase, and AppsFlyer, with the ability to design and execute A/B testing frameworks and develop complex statistical models. Strong presentation and communication skills are also essential for effectively translating insights to stakeholders.

A Bachelor's degree in Data Science, Statistics, or Economics is required, along with 3+ years of experience as a Growth Analyst or similar role.

• Bachelor's degree in Data Science, Statistics, Economics, or related quantitative field.
• 3+ years of experience as a Growth Analyst or similar analytical role.
• Expert-level proficiency in SQL for complex data manipulation and analysis.
• Advanced experience with Metabase for creating interactive dashboards and self-service analytics solutions.
• Demonstrated experience with mobile attribution platforms, with specific expertise in AppsFlyer data analysis and reporting.

1. Conduct comprehensive cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and acquisition channels.
2. Calculate and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC).
3. Build and maintain advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels.
4. Collaborate with data engineers to design, optimize, and maintain data pipelines that process AppsFlyer raw data for analytical purposes.
5. Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights.
6. Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders.
7. Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics.
8. Partner with client teams to optimize campaigns, identify growth features, and align analytics with business planning.
9. Conduct market research and competitive analysis to identify growth opportunities and benchmark performance.
10. Create predictive models to forecast user behavior, revenue projections, and campaign performance.

• Strong proficiency in statistical analysis, cohort analysis, and predictive modeling techniques.
• Deep understanding of mobile app growth metrics including LTV, CAC, ROAS, retention rates, and revenue attribution models.
• Proficiency in Python or R for advanced analytics and statistical modeling.
• Experience with A/B testing methodologies, experimental design, and statistical significance testing.

• Work at the forefront of growth analytics with a team of experts passionate about data-driven innovation.
• Enjoy the flexibility and benefits of a fully remote contractor position.
• Make immediate impact on growth initiatives while working with cutting-edge analytics technologies.
• Gain exposure to diverse industries and build long-term relationships in the mobile app analytics space.

As a Key Performance Analyst, you will have the opportunity to work with a talented team of data analysts and scientists who are passionate about driving business growth through data-driven insights.

You will be responsible for developing and maintaining advanced attribution models, conducting cohort analysis, and creating predictive models to forecast user behavior and revenue projections.

Our team values collaboration, continuous learning, and professional development, and we offer a range of benefits to support your career growth and well-being.

To apply, please submit your resume, a cover letter detailing your experience with growth analytics and mobile attribution platforms, and any relevant case studies or portfolio samples.