Mobile App and SaaS Growth Optimization Expert

1 day ago

Agra, Uttar Pradesh, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Advanced Data Analyst Job Summary

We are seeking an expert Advanced Data Analyst to join our team.

This role involves utilizing extensive knowledge of statistical analysis, data modeling, and business intelligence principles to drive strategic decision-making across the organization. Key responsibilities include:

  • Developing complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights.
  • Creating interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders.
  • Designing and executing A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics.
  • Partnering with cross-functional teams (marketing, product, finance) to optimize campaigns, identify growth features, and align analytics with business planning.
  • Conducting market research and competitive analysis to identify growth opportunities and benchmark performance.
  • Building predictive models to forecast user behavior, revenue projections, and campaign performance.
Requirements 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, 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.
Benefits
  • Opportunity to work at the forefront of growth analytics with a team of experts passionate about data-driven innovation.
  • Flexible remote work arrangement allowing for excellent work-life balance.
  • Chance to make immediate impact on growth initiatives while working with cutting-edge analytics technologies.
  • Exposure to diverse industries and potential long-term relationships in the mobile app analytics space.
  • Culture of continuous learning, professional development, and collaborative achievement.

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