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Data-Driven Growth Expert
2 weeks ago
The Role: ">
- Conduct in-depth cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and channels.
- Develop and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC).
- Design and build advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels.
- Collaborate with data engineers to design, optimize, and maintain data pipelines that process AppsFlyer raw data for analytical purposes.
- Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights.
- Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders.
- Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics.
- Partner with client teams (marketing, product, finance) to optimize campaigns, identify growth features, and align analytics with business planning.
- Conduct market research and competitive analysis to identify growth opportunities and benchmark performance.
- Develop predictive models to forecast user behavior, revenue projections, and campaign performance.
Requirements:
- Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, Marketing Analytics, or a related quantitative field.
- 3+ years of proven experience as a Growth Analyst, Marketing Analyst, or similar analytical role, preferably in mobile app or SaaS environments.
- Expert-level proficiency in SQL for complex data manipulation and analysis, with specific experience in Snowflake data warehousing.
- 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.
- 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.
- Experience working as a contractor or consultant, with ability to quickly integrate into client teams and deliver results.
Benefits:
- 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.
- Benefit from a culture of continuous learning, professional development, and collaborative achievement.
