Modern Health is a global workforce mental health platform and employee benefit for organizations.

We support HR, benefits, and people leaders responsible for complex, distributed workforces—delivering evidence-based coaching, therapy, group support, and digital programs to employees and their eligible family members through a provider network spanning 200+ countries and territories.

Our Adaptive Care Model combines clinically validated assessments with structured matching to guide each member to the right level of support—and evolve care as needs change.

Our global provider network supports 80+ languages, with an average time to first appointment of less than 24 hours globally, enabling fast access to culturally responsive care.

We regularly share insights on workforce mental health strategy, global benefits implementation, clinical outcomes, early intervention and preventive care, manager enablement, and the ROI and VOI of mental health benefits.

If you lead HR, total rewards, benefits, or people strategy and are responsible for workforce well-being at scale, Modern Health was built for you.

The Role:

Modern Health is looking for a Data Analyst to join our Analytics team. The role reports into our Manager of Data Analytics and will work cross-functionally with our Go-To-Market (GTM), Clinical Strategy, and Finance teams as an embedded partner for all things data. This role is eligible for remote work within the USA, excluding Hawaii.

In this role, you will:

Own and expand client-facing reporting to help our customers understand the clinical and business value of their investment in Modern Health

Build and maintain the data foundation that powers our analytics — including dbt models, metric definitions, and the pipelines that keep our data reliable

Support our clinical analytics workstreams, including outcomes reporting, ROI analyses, and compliance-related data work

Partner with stakeholders across Clinical Strategy, Customer Success, Finance, and RevOps to surface insights, build reliable reporting, and help the organization make better data-driven decisions

We would love to hear from you if you have a genuine interest in health data and outcomes, are energized by turning complex data into clear and actionable insights, and are excited to grow your skills in a high-impact, mission-driven analytics team.

What You'll Do:

Own and expand client-facing reporting; simplify our data to allow Customer Success teams and clients to visualize the complete member journey and understand the value of their investment in Modern Health

Develop and sustain our dbt codebase using SQL; write modular, well-tested models that serve as the single source of truth for key business and clinical metrics

Identify which metrics matter and how to measure them, implement those definitions in our data warehouse, and report on them via our BI tool

Partner with Data Engineering to improve our data platform and advocate for upstream data quality

Conduct analyses using SQL and translate results into clear, actionable recommendations for clinical, GTM, and product stakeholders

Partner with senior analytics team members on strategic analyses — framing the problem, performing the analysis, and recommending action

Build data sources and dashboards that empower stakeholders to understand the data that matters most to them and make informed decisions

Manage ad-hoc requests from cross-functional teams — Clinical Strategy, Finance, RevOps, CS, and Sales — and identify patterns in requests as inputs to future automation and self-service tooling

Support clinical analytics workstreams including ROI and Value-of-Investment (VOI) performance guarantee analyses, clinical outcomes reporting, and compliance-related data work

Guarantee the reliability of your work through rigorous self-review, code review, and testing practices

Who You Are/ Role Requirements:

2+ years of experience in analytics, ideally with exposure to healthcare, health tech, or a clinical setting

Proficient in SQL, Python or R, dbt, statistical data analysis, and data visualization

High EQ, strong interpersonal and relationship-building skills, including comfort interfacing with internal leadership

Experience with BI tooling (e.g. Looker, Tableau, Omni, or similar)
Genuine curiosity about clinical data — you find health outcomes, member behavior, and population-level trends intrinsically interesting

Comfortable working with messy, ambiguous data and capable of clearly communicating limitations and assumptions in your analyses

Ability to drive execution and demonstrated interest in strategic thinking

Strong problem-solving skills and a willingness to roll up your sleeves to get the job done

Solution-oriented with a strong sense of ownership and drive

Strong written and verbal communication skills, with the ability to present analyses concisely to non-technical stakeholders

Proven success partnering with and explaining data and analytics concepts to non-technical team members at varying levels of seniority

Passionate about the mental health space

Humble, scrappy, highly motivated, and thrive in fast-paced environments

Immigration sponsorship is not available for this position. Applicants must be able to maintain work authorization for the duration of employment without employer sponsorship or employer-provided training plans or attestations (including, for example, the Form I-983 required for STEM OPT).

Bonus Points:

Have a Master’s degree in a health or analytical related field

Experience in a digital health setting

Familiarity with healthcare compliance frameworks (e.g., Knox Keene, HIPAA)

High-growth startup experience

Experience developing external-facing client reporting