Data Driven Growth Expert

A growth analyst is required to drive business expansion through data-driven insights. This role involves analyzing user behavior, optimizing marketing campaigns, and developing predictive models to forecast user growth.

• Conduct comprehensive cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and acquisition channels.
• Calculate and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC).
• Build and maintain 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.
• Create predictive models to forecast user behavior, revenue projections, and campaign performance.

• 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.

• Master's degree in a relevant quantitative field.
• Experience with additional BI tools (Tableau, Looker, Power BI) and cloud platforms (AWS, GCP, Azure).
• Knowledge of ETL processes, data pipeline development, and workflow orchestration tools like Apache Airflow.
• Experience with machine learning techniques for predictive analytics and customer behavior modeling.
• Previous experience in mobile gaming, e-commerce, fintech, or other high-growth mobile app industries.
• Knowledge of additional mobile analytics platforms (Adjust, Branch, Singular) and customer data platforms (CDPs).
• Understanding of incrementality testing, media mix modeling, and privacy-first measurement approaches (SKAdNetwork).
• Familiarity with data privacy regulations (GDPR, CCPA) and their impact on analytics and attribution.
• Previous consulting experience with successful client engagements and proven track record of driving data-driven decisions.
• Strong presentation and communication skills with ability to translate complex insights to non-technical stakeholders.

• 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 position.
• Make immediate impact on growth initiatives while working with cutting-edge analytics technologies.
• Gain exposure to diverse industries and build long-term relationships.
• Benefit from a culture of continuous learning, professional development, and collaborative achievement.