Data Analyst

Summary

Join Mae, a venture-backed digital health company, as a Senior Data Analyst to build and develop the foundations for their data analytics practice. You will play a key role in establishing and scaling data processes and business intelligence systems, particularly within the product and engineering organization. This position requires a deep understanding of data analysis, a strong technical background, and experience working with modern data tools. You will contribute directly to Mae's data vision and roadmap, and have the opportunity to shape the future data analytics team. This is a contract-to-hire role, reporting directly to the VP of Engineering, with the potential to transition to full-time employment as Mae expands its data analytics capabilities.

Requirements

• 5+ years of experience in data analysis, ideally in a product-focused environment
• You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate. You understand how to analyze data in tech-enabled systems
• Strong analytical thinking, capable of digging deep into business problems to uncover hidden insights and areas of opportunity
• A self-starter mentality with the ability to prioritize, meet deadlines, and identify opportunities with limited oversight
• Expert-level knowledge of SQL, experience with advanced analytics tools like Python, R, or similar for data manipulation and statistical analysis
• Expertise in building and maintaining dashboards and reports using standard BI tools (we use Metabase, Excel)
• Experience with A/B testing, hypothesis testing, and statistical analysis to evaluate product and feature impact

Responsibilities

• Define and develop the metrics we use to measure our business performance. Have strong opinions on the right way to measure performance and use them to guide the engineering team in building the right telemetry
• Product metrics expertise: Become the authority on product usage, sales, and customer behavior data. Deeply understand key performance indicators (KPIs), identify trends and patterns, and provide actionable insights to guide product strategy and roadmap planning
• Data-driven storytelling: Translate complex data into clear and compelling narratives for both technical and non-technical audiences
• Conduct ad-hoc analysis to support other departments (time permitting)
• Reduce the amount of time teams spend manually pulling data to inform decisions
• Develop dashboards and analyses that enable the team to hit their engagement, impact, and revenue targets - you’re successful when you help your team be successful!

Preferred Qualifications

Experience working with healthcare data sets (EMR and claims) a plus

Benefits

• Competitive salary and equity package
• Healthcare benefits
• 401K with matching
• Flexible work location
• Generous time off