Common Sense Media is looking for a Data Analyst to join their data team to drive product innovation and membership growth by analyzing user behavior and engagement across their website and mobile apps, translating complex data into actionable insights that will influence product development, marketing strategy, and the overall user experience.
Requirements
- Strong SQL skills for data extraction and analysis.
- Hands-on experience with a product analytics platform (Amplitude, Mixpanel, Heap, etc.) and the ability to learn new tools quickly.
- Solid understanding of statistical analysis and A/B testing.
- Proficiency with data visualization tools (Excel/Google Sheets, Tableau, Power BI, or similar).
- Curiosity about and/or experience with AI-assisted analytics platforms (e.g., ThoughtSpot, Akkio, ChatGPT-powered BI, or similar emerging tools).
- Direct experience with Amplitude and/or GA4.
- Python or R skills for advanced analysis.
Responsibilities
- Analyze user behavior, engagement patterns, and conversion funnels across web and mobile.
- Identify opportunities to improve the user experience by mapping cross-platform user journeys.
- Generate actionable insights to inform product features, marketing campaigns, and growth strategies.
- Partner with the Product and Marketing teams to define success metrics and ensure accurate event tracking.
- Experiment with AI-driven analytics tools to automate analysis, uncover trends, and speed up insight generation.
- Build and maintain dashboards and reports that track KPIs across web and app experiences.
- Create compelling visualizations and narratives that make data accessible to stakeholders at all levels.
Other
- 4+ years of experience in data analysis, product analytics, or business intelligence.
- Strong business acumen, with the ability to translate data into strategic insights.
- Excellent communication skills, with the ability to tell stories with data and influence non-technical stakeholders.
- Collaborative approach to working with the Product, Marketing, and Engineering teams.
- Bachelor's degree in a quantitative field (data science, statistics, economics, mathematics, etc.).
