Senior Data Analyst

Summary

Join Mae, a digital health solution improving the health and quality of life for Black mothers, babies, and their families, as a Senior Data Analyst. You will be instrumental in establishing and scaling data processes and business intelligence systems within the product and engineering organization. This contract-to-hire role requires deep data analysis understanding, a strong technical background, and experience with modern data tools. You will define and develop key performance indicators (KPIs), translate complex data into compelling narratives, and conduct ad-hoc analyses. Success will be measured by reducing manual data processes and enabling the team to meet engagement, impact, and revenue targets. This role reports to the VP of Engineering and offers a competitive salary and equity, healthcare benefits reimbursement, flexible work location, generous time off, and half-day Fridays.

Requirements

• 5+ years of experience in data analysis, ideally in a product-focused environment
• Strong user empathy
• 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
• 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
• 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

Preferred Qualifications

Experience working with healthcare data sets (EMR and claims)

Benefits

• Competitive salary and equity
• Healthcare benefits reimbursement
• Flexible work location
• Generous time off
• Half-day Fridays