Senior Data Analyst - Remote

Overview

Papa is a new kind of care built on human connection. Across the country, health plans and employers look to Papa to provide vital social support by pairing older adults and families with Papa Pals, trained and vetted companions, who provide a helping hand and an open ear, resulting in less loneliness and better health.

Founded in 2017 and headquartered in Miami, Papa is backed by Canaan, Tiger Global Management, Comcast Ventures, SoftBank Vision Fund 2, TCG, Initialized Capital, and Seven Seven Six, among other revered institutional and individual investors. We envision a world where no one has to go it alone. Learn more at Papa.com.

In Short

• 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.

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.

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