Senior Data Analyst

We are looking for a Senior Data Analyst to join our team. You will partner our Design, Product and Engineering stakeholders in our efforts to measure and optimize our digital footprint.

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.

To qualify for this role you must have:

• 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.

Ideally, you also have:

• 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

Location: 

Remote US

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