Senior Data Analyst

Midi Health•Palo Alto, CA

44d•Hybrid

About The Position

We're looking for a Data Analyst who thrives at the intersection of product development and business operations. In this role, you'll be the analytical backbone for critical business decisions while partnering with product teams to measure, experiment, and optimize our platform. You'll own key performance indicators end-to-end—from definition and measurement to insight generation and stakeholder communication—ensuring our teams have the data they need to make confident decisions. This role requires someone who can seamlessly shift between deep-dive operational analysis and product experimentation, translating complex data into clear narratives that drive action. You'll collaborate extensively across functions—partnering with operations leaders on capacity planning, with product managers on feature prioritization, and with cross-functional teams to understand the complete patient and provider journey.

Requirements

SQL mastery: Complex queries, data modeling, and the ability to navigate large datasets efficiently
Data visualization: Proficiency in creating clear, actionable dashboards and reports (Looker, Tableau, Mode, or similar)
Spreadsheet expertise: Advanced Excel/Google Sheets skills for ad-hoc analysis and modeling
Statistical foundation: Understanding of A/B testing, statistical significance, confidence intervals, and common pitfalls
Business acumen: Natural curiosity about how businesses operate and what drives performance
Problem structuring: Ability to take vague questions and break them down into answerable analytical components
Pattern recognition: Skilled at identifying trends, anomalies, and causal relationships in data
Quantitative rigor: Attention to detail and commitment to analytical accuracy
Impact-oriented thinking: Focus on insights that drive decisions, not just interesting findings
KPI ownership: Experience defining, tracking, and owning key metrics with accountability for accuracy and actionability
Stakeholder management: Proven ability to build trust with cross-functional partners and manage competing priorities
Self-direction: Comfortable with ambiguity and able to scope and execute projects independently
Communication excellence: Clear written and verbal communication tailored to audience, from technical peers to executives
Collaborative mindset: Genuine enjoyment of working across teams and functions to drive collective success
4-6 years of experience in analytics roles (business analytics, product analytics, or related fields)
Demonstrated progression in scope and impact across previous roles

Nice To Haves

Analytics tools: Experience with product analytics platforms (Amplitude, Mixpanel, or similar) is a plus
Python/R knowledge: Basic scripting ability is preferred but not required
Background in high-growth startups, tech companies, or healthcare is a plus
Experience supporting both operational and product teams is preferred

Responsibilities

Own and monitor core business KPIs related to provider capacity, utilization, and productivity
Conduct root cause analysis on operational challenges including wait times, geographic and network coverage gaps, and capacity constraints
Analyze provider performance patterns across different cohorts (tenure, employment type, specialties) to identify optimization opportunities
Evaluate operational processes and their impact on key outcomes such as patient retention, provider efficiency, and revenue generation
Build dashboards and reporting infrastructure that enable stakeholders to self-serve and monitor business health
Synthesize qualitative feedback (patient reviews, satisfaction surveys) with quantitative metrics to provide holistic performance views
Design, analyze, and communicate results from A/B tests and product experiments
Measure feature adoption, usage patterns, and downstream impact on user behavior and business outcomes
Conduct impact sizing analysis to help product teams prioritize roadmap initiatives
Build conversion funnels and identify friction points in user journeys
Track product health metrics and flag anomalies or opportunities for improvement
Partner with product managers to define success metrics for new features and initiatives
Act as a trusted analytical partner to business and product leaders, translating ambiguous questions into structured analyses
Present findings and recommendations to stakeholders at all levels, from individual contributors to executives
Collaborate with data scientists and analysts on larger analytical initiatives
Work across teams to ensure consistent metric definitions and shared understanding of performance
Proactively surface insights and opportunities based on data patterns you observe