Midi Health
Expert care for women 40+. Made for midlife. Delivered by experienced clinicians. Covered by insurance.
51 - 200
Senior Data Analyst- Growth
August 6
🏢 In-office - Bay Area
Midi Health
Expert care for women 40+. Made for midlife. Delivered by experienced clinicians. Covered by insurance.
51 - 200
Description
• Create and track marketing campaigns' Key Performance Indicators (KPIs) across various paid and unpaid channels • Evaluate the return on investment (ROI) and customer acquisition cost (CAC) for marketing campaigns, identifying high-performing channels/creatives and areas for improvement, considering clinical specialty, patient retention, repeat visits, and lifetime revenue • Leverage Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to provide actionable insights to the marketing team on budget allocation strategies • Segment patients based on geographic regions to tailor marketing strategies effectively, considering regional differences in clinical capacity, insurance restrictions, etc • Collaborate with the business development team to identify potential partners and monitor patient churn/retention/lifetime value (LTV) of patients from these partners • Partner closely with the Product team and the Finance team to guide decision makings and project prioritization using data • Establish appropriate analytics framework using cohort and funnel analyses to uncover actionable insights and identify growth gaps, while ensuring statistical rigor • Work closely with the engineering team to design data schema and pipeline for external data from various channels • Develop and maintaining dashboards and reports for stakeholders to track performance metrics and key business indicators
Requirements
• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Operations Research, Finance, Healthcare Informatics) • 6+ years of industry experience as a Data Analyst in marketing, growth, or general data analysis roles • Proficiency in SQL and statistical analyses, data visualization tools (e.g., QuickSight, Tableau, Power BI), web analytics tools (e.g., Mixpanel), and version control tools (e.g., Github/Gitlab, CodeCommit) • Familiarity with Python (pandas and numpy) and statistics for data analysis • Good understanding of Ad Platforms. Example: Meta, Google, Podscribe, Trade Desk, etc
Benefits
• Highly competitive salary • Generous equity grants • 401(k) plan • Medical and dental coverage • Generous vacation and sick days policy • Laptop and home office stipend
Apply Now
