Senior Data Analyst - Marketplace

Midi Health; Palo Alto, San Francisco (CA, CA); In loco; USD 150.000 - 175.000; Tempo pieno

Descrizione del lavoro

Midi Health in Palo Alto is seeking a Senior Data Analyst to convert raw operational data into actionable insights, build robust BI reporting, and guide growth and efficiency for a dynamic two-sided healthcare marketplace.

The role emphasizes analytics and diagnostics with advanced SQL, Python, and BI skills, plus experience with Snowflake/BigQuery/Redshift and dbt. This is a full-time W2 role with base salary 150–175k, plus equity and benefits.

Competenze

• Advanced SQL skills with complex queries, windows, CTEs, and scalable analytics models.
• BI and visualization tools to create executive dashboards and self-service reports.
• Python for statistical analysis, data manipulation, and rapid exploratory data analysis.
• Data modeling with cloud data warehouses (Snowflake, BigQuery, Redshift) and dbt.

Mansioni

• Define, measure, and track core marketplace health metrics and utilization.
• Perform root-cause analyses to uncover inefficiencies in patient and clinician journeys.
• Build cohort analyses and diagnostic frameworks for short- and long-term marketplace dynamics.

Conoscenze

Advanced SQL

BI & Visualization

Python for Analytics

Data Modeling

Strumenti

Snowflake

BigQuery

Redshift

dbt

Descrizione del lavoro

Reports to: Director Data Science + Analytics
Job Type: Full-time W2

About the Role

We are seeking an exceptional Senior Data Analyst to tackle one of our most critical challenges: analyzing, monitoring, and optimizing a complex, dynamic two-sided healthcare marketplace. In this domain, demand and supply must be intelligently balanced across multiple dimensions—including heterogeneous booking lead times, cancellation and rescheduling dynamics, geographic distributions, insurance networks, provider credentials, and capacity utilization.

While this domain leverages sophisticated optimization systems, this role focuses heavily on analytics, business intelligence, market diagnostics, and strategic decision support. You will serve as the core analytical engine for our marketplace—translating raw operational data into actionable insights, building robust BI/reporting infrastructure, defining marketplace health metrics, and working directly with business and product leadership to guide growth and efficiency.

What You'll Do

• Marketplace Health & Diagnostics: Define, measure, and track core marketplace health metrics (e.g., supply/demand imbalances, cancellation/rescheduling rates, and capacity utilization).
• Root-Cause Analysis: Perform deep-dive analyses to uncover marketplace inefficiencies, bottleneck drivers, network gaps, and drop-off points across patient and clinician journeys.
• Decision-Support Modeling: Build cohort analyses and diagnostic frameworks to help business teams understand short-term marketplace dynamics and long-term marketplace economics.

Strategic Partnership & Business Impact

• Executive Advisory: Partner directly with Demand, Supply, Operations, and Product leadership to translate marketplace insights into concrete strategy.
• Capacity Planning & Expansion: Provide analytical decision support for hiring, provider onboarding, market expansion, and geo-targeted growth investments.
• Cross-Functional Collaboration: Partner with Data Engineering and Data Science teams to ensure underlying data pipelines, metrics definitions, and production data models meet reporting and analytics needs. Provide analytical feedback loop with the Marketplace Data Science team to influence prioritization over the most impactful data science projects.

What You Bring

Required Technical & Analytical Skills

• Advanced SQL Expertise: Exceptional SQL skills with experience writing complex, performant queries, window functions, CTEs, and designing scalable analytics tables/data models.
• Business Intelligence & Visualization: Deep experience with BI and data visualization tools creating intuitive executive dashboards and self-service reporting tools.
• Python for Analytics: Proficiency in Python for statistical analysis, data manipulation, and rapid exploratory data analysis.
• Data Modeling: Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data transformation tools (e.g., dbt).

Experience

• 5+ years of experience in Data Analytics, Product Analytics, or Business Intelligence in high-growth technology environments.
• Business Acumen: Ability to connect technical metric movements to high-level business revenue, cost, and operational drivers.
• Communication Excellence: Outstanding ability to summarize complex data into clear stories and recommendations for non-technical executives and stakeholders.
• Proactive Ownership: Self-starter who identifies unstructured problems, asks the right questions, and builds solutions from scratch with minimal direction.

Preferred Experience

• Direct experience analyzing two-sided marketplaces, or dynamic supply/demand matching platforms.
• Domain experience in healthcare operations, insurance networks, or telehealth systems.
• Familiarity with queueing dynamics, forecasting models, or supply chain analytics.

Interview Process:

Recruiter Screen- 30 mins
Hiring Manager Screen- 30 mins
Technical Screen- 1hr
Panel Interviews- 3 hours + Lunch in Office in Palo Alto

At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.

At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.

This is a full-time W2 position. The base salary range is 150-175K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits.

Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.

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