CLEAR is investing deeply in data, experimentation, and analytics to improve how they make decisions and serve their members, specifically focusing on their CLEAR+ subscription business. They need a Data Analyst to identify meaningful opportunities to improve business outcomes.
Requirements
- Deep fluency in SQL and comfort with Python or R for exploratory analysis and modeling.
- A working knowledge of statistics and database modeling.
- Experience working on customer growth and retention strategy.
- Ability to derive clarity from ambiguity, from framing questions to delivering recommendations.
- Comfortability simplifying complex analyses, defending methodology choices, and inspiring action through insights.
Responsibilities
- Partner closely with Marketing and Finance to evaluate business performance, size new growth opportunities, and synthesize complex data into actionable narratives for executive leadership.
- Contribute to large analytics projects, from opportunity sizing to deep-dive diagnostic analysis to steady-state descriptive reporting.
- Serve as a thought partner in subscription strategy development planning by contextualizing analytics within broader company strategy and market trends.
- Create or improve key subscription-related datasets to improve data liquidity and enable self-service by business stakeholders.
- Frame and evaluate experiments using industry-best methodologies to isolate causal effects and interpret noisy data.
Other
- 2+ years of experience working in analytics, data science, or adjacent roles, preferably in a subscription business.
- A strong business sense with the ability to contribute to strategic discussions about what we do next and why doing so will drive the results that matter.
- Collaborative mindset and emotional intelligence — you’re someone stakeholders seek out for thought partnership, not just dashboards.
- Excited to contribute to a team culture centered around curiosity, humility, and impact.
- The base salary range for this role is $100,000-$140,000, depending on levels of skills and experience.
