Chief Growth Strategist

Overview:

The role of a Growth Analyst involves leveraging data analytics to drive business growth and inform strategic decisions. This position requires a strong understanding of data science principles, statistical analysis, and predictive modeling techniques.

Responsibilities:

• Conduct in-depth cohort analysis 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), revenue attribution models, payback periods, and customer acquisition costs (CAC).
• Develop 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 raw data for analytical purposes.
• Develop complex SQL queries to extract, transform, and analyze large datasets for growth insights.
• Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics.
• Partner with cross-functional 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.

Required Skills and Qualifications">

• 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.
• Advanced experience with Metabase for creating interactive dashboards and self-service analytics solutions.
• Demonstrated experience with mobile attribution platforms, specifically 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, ROI, 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.

Why this Role is Important">

This role plays a critical part in driving business growth and informing strategic decisions through data-driven insights. The ideal candidate will have a strong background in data science, excellent analytical skills, and the ability to effectively communicate complex ideas to both technical and non-technical stakeholders.

What We Offer

• Opportunity to work at the forefront of growth analytics with a team passionate about data-driven innovation.
• Flexible remote work arrangement.
• Chance to make immediate impact on growth initiatives while working with cutting-edge analytics technologies.
• Exposure to diverse industries and opportunities to build long-term relationships in the mobile app analytics space.
• Culture of continuous learning, professional development, and collaborative achievement.

How to Apply

Interested candidates are invited to submit their resume, a cover letter detailing their experience with growth analytics and mobile attribution platforms, and any relevant case studies or portfolio samples.