Business Data Scientist

About our mobile analytics team:

We are a leading provider of AI consulting services dedicated to leveraging the power of artificial intelligence to drive business growth globally. Our expertise in data-driven insights and optimization positions us at the forefront of innovative solutions for clients.

The Growth Analyst is responsible for analyzing user acquisition retention and revenue performance across different user segments and acquisition channels using comprehensive cohort analysis on AppsFlyer data.

This role involves calculating and monitoring key growth metrics including Customer Lifetime Value LTV Return on Investment ROI ROAS payback periods and customer acquisition costs CAC as well as building and maintaining advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels.

Additionally the Growth Analyst will 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 and partner with client teams marketing product finance to optimize campaigns identify growth features and align analytics with business planning.

The ideal candidate will have a strong background in data science statistics economics business analytics marketing analytics or a related quantitative field with 3+ years of proven experience as a Growth Analyst Marketing Analyst or similar analytical role preferably in mobile app or SaaS environments.

Requirements include 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 and experience working as a contractor or consultant with ability to quickly integrate into client teams and deliver results.

Preferred qualifications include a 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 and previous consulting experience with successful client engagements and proven track record of driving data-driven decisions.

We offer flexible remote work arrangements opportunities for professional development and collaborative achievement a dynamic team environment and exposure to diverse industries and technologies.