Growth Insights Strategist

We are seeking a skilled Analytics Specialist to join our team.

• Conduct comprehensive cohort analysis using data to track user acquisition, retention, and revenue performance across different segments and channels.
• Calculate and monitor key metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC).
• Develop advanced attribution models to measure campaign effectiveness and optimize budget allocation across channels.
• Collaborate with data engineers to design, optimize, and maintain data pipelines that process raw data for analytical purposes.
• Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for 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 campaigns on metrics.
• Partner with teams to optimize campaigns, identify growth features, and align analytics with business planning.
• Conduct market research and competitive analysis to identify 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 field.
• 3+ years of experience as an Analytics Specialist, Marketing Analyst, or similar 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 attribution platforms, with specific expertise in data analysis and reporting.
• Strong proficiency in statistical analysis, cohort analysis, and predictive modeling techniques.
• Deep understanding of 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 teams and deliver results.

• Master's degree in a relevant field.
• Experience with additional BI tools and cloud platforms.
• 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 industries.
• Knowledge of additional mobile analytics platforms and customer data platforms.
• Understanding of incrementality testing, media mix modeling, and privacy-first measurement approaches.
• Familiarity with data privacy regulations 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.

• Join a team of experts passionate about data-driven innovation.
• Enjoy the flexibility and benefits of a fully remote position.
• Make immediate impact on initiatives while working with cutting-edge 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.