Lead Data Analyst
10Folders
FirebasePythonSQLTableau
Job Level
Senior
Tech Stack
FirebasePythonSQLTableau
About the role
- Lead the design and delivery of core data products that power decision-making across the company.
- Transform raw data into reliable, documented, and reusable datasets that serve as the foundation for business KPIs and self-serve analysis.
- Build and maintain dashboards, tools, and workflows that make insights accessible to both technical and non-technical teams.
- Partner with stakeholders across marketing, product, finance, and leadership to frame problems, define metrics, and deliver actionable insights.
- Introduce and enforce best practices in experimentation, data modeling, and visualization to improve how the company uses data.
- Drive advanced analyses (A/B testing, cohort analysis, segmentation) to inform acquisition, retention, and monetization strategies.
- Collaborate with internal teams and external partners on advanced methods, including machine learning, to accelerate user and business growth.
- Champion a data culture by ensuring fast, accurate, and consistent access to the right information at all levels of the organization.
Requirements
- 6+ years of experience in data analytics, with at least 2 years in a senior or lead role.
- Advanced proficiency in SQL and Python (or similar), with proven ability to work with large, complex datasets.
- Strong expertise in data visualization (Looker, Tableau, or equivalent) and building tools that empower others to self-serve insights.
- Hands-on experience designing and managing data marts or data layers that support decentralized analytics.
- Track record of turning ambiguous business questions into structured, data-driven solutions.
- Excellent communication and storytelling skills, with the ability to influence across functions.
- Demonstrated ability to lead cross-functional initiatives and scale analytics practices.
- Experience with mobile analytics platforms (e.g. Amplitude, Adjust, Firebase) and a deep understanding of acquisition, engagement, and retention metrics.
- Passion for mobile apps and gaming, with curiosity for player behavior and industry trends.
- Nice to Have Knowledge of advanced statistical modeling and experimentation design.
- Familiarity with attribution methodologies across multiple platforms.
- Experience working within the B2C app industry or the mobile gaming industry.
