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We are seeking a highly skilled Data Analyst with expertise in growth strategies to join our team. As a Remote Growth Analyst, you will be responsible for analyzing data to drive business growth and optimize marketing campaigns.
Key Responsibilities- Cohort Analysis: Conduct comprehensive cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and acquisition channels.
- Growth Metrics: Calculate and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC).
- Attribution Modeling: Build and maintain advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels.
- Data Pipeline Development: Collaborate with data engineers to design, optimize, and maintain data pipelines that process AppsFlyer raw data for analytical purposes.
- Advanced Analytics: Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights.
- Dashboards and Reporting: Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders.
- A/B Testing: Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics.
- 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.
- 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.
