Senior Data Analyst

Summary

Join Papa, a company focused on human connection through social support, as a Senior Data Analyst. Partner with design, product, and engineering teams to measure and optimize the company's digital footprint. Analyze mobile app data to identify trends and opportunities for growth. Develop and implement advanced analytics systems to gain actionable insights. Create reports and presentations to communicate findings to stakeholders. Evaluate and improve internal data handling systems. Collaborate with product and design teams to measure the effectiveness of new features and optimize user experience. Conduct A/B testing to identify effective strategies. Provide strategic recommendations based on data analysis to improve app performance and user engagement. Stay up-to-date with industry trends in mobile app analytics and data science.

Requirements

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline
• 8+ years experience in data analysis, with a focus on mobile and web app analytics
• Strong proficiency in SQL and at least one programming language like Python or R
• Expertise in data modeling, data cleaning, and data preparation
• Experience with statistical analysis, predictive modeling, and machine learning concepts
• Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI) to create reports and dashboards
• Demonstrated ability to communicate complex data insights to both technical and non-technical audiences
• Experience working with cross-functional teams (Product, Engineering, Design, Operations) to drive data-informed decisions
• Understanding of key mobile app metrics and KPIs, user behavior analysis, and A/B testing methodologies

Responsibilities

• Analyze complex mobile app datasets to identify trends, patterns, and opportunities for growth and optimization
• Develop and implement advanced analytics systems and methodologies to gain actionable insights from mobile user data
• Create comprehensive reports, dashboards, and presentations to communicate key findings and recommendations to stakeholders
• Evaluate and improve internal data handling systems to ensure data integrity, efficiency, and accuracy
• Collaborate with product and design teams to measure the effectiveness of new features and optimize user experience
• Conduct A/B testing and other experiments to identify the most effective strategies for influencing user behavior and achieving business goals
• Provide strategic recommendations based on data analysis to improve app performance, user engagement, and monetization
• Stay up-to-date with industry trends and emerging technologies in mobile app analytics and data science

Preferred Qualifications

• Experience working with GrowthBook or similar feature testing systems
• Experience with modern data integration tools (e.g. Fivetran, Celigo), data transformation tools (e.g. DBT, Alteryx, etc), and data warehousing solutions (e.g. Snowflake, Redshift, Big Query, etc)
• Experience with R or Python, specifically towards their use in data analysis

Benefits

• Competitive salary and equity package
• Medical, dental and vision insurance coverage
• HSA/FSA
• 401(k) plan with a match up to 4%
• Flexible PTO
• Parental leave and caregiver leave