Senior Data Analyst, Midi Health

• 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

Desirable

• In this role, you will have a unique opportunity to uncover insights and build tools to help our marketing teams optimize our paid and unpaid channels for patient acquisition
• You will get the exposure to drive and build data products & tools that enable us to measure, optimize and scale our growth activity beyond just marketing to bring Midi expert care to more patients through various business partnerships
• 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