Wellthy helps families balance work and caregiving responsibilities through a combination of precision technology and human expertise – a care concierge to help families navigate any care situation or challenge. By alleviating caregiving demands for caregivers through a digital dashboard and real-time advice from care experts, Wellthy makes it easier for caregivers to take care of their own health, reduce stress, save money, and stay engaged in their work and their lives while taking care of their loved ones. Nearly 2 million people have direct access to Wellthy’s services through some of the largest and best-known health plans and employers across the country.

As our Data Analyst, you will As our Data Analyst, you will support company leaders by providing essential analysis, insights, and reports to drive informed decision-making.

Our work is grounded in the expertise of seasoned care professionals who deeply understand families’ real challenges paired with agile, tech-powered solutions that deliver support efficiently and at scale. We embrace a mindset of continuous learning, especially around emerging technologies. Tools like AI and other innovations are accelerators, enabling us to scale our impact, work smarter, and stay at the forefront of care delivery.

You will report directly to the VP of Data, Product, & Engineering Operations.

To be successful in this role:

Develop and maintain reports, visualizations, and dashboards to help monitor performance and identify areas for improvement.

Integrate AI tools into daily workflows to increase efficiency in data cleaning, initial analysis, and documentation generation

Collaborate with team leads to understand and track outcome-based metrics that support company objectives.

Analyze data and provide stakeholders with clear, actionable insights to drive decision making

Work with data engineers to understand data transformations and ensure data quality for reporting and analysis.

Manage ad hoc data requests from various business areas under the guidance of senior team members.

Document data processes and communicate findings or data issues to internal stakeholders.

Maintain a curiosity for modern data stacks and a willingness to learn tools such as Fivetran, Snowflake, dbt, Hightouch, and Thoughtspot.

Qualifications

To be successful in this role, you’ll need to be open to learning, experimenting, and evolving. Comfort with emerging technology and curiosity around how tools like AI can support your workflow or help families more effectively is a plus.

3-5 years of experience as a data analyst

Proficient SQL skills, 2+ years writing SQL queries (joins, CTEs, window functions)

3-5 years of experience in building reporting in modern BI tools (e.g. ThoughtSpot, Looker, Tableau, etc).

Strong analytical skills with the ability to communicate actionable insights

Strong attention to detail and accuracy in organizing and disseminating information.

Demonstrated ability to use AI assistants (e.g., ChatGPT, Claude, GitHub Copilot) to assist in writing SQL, debugging code, and writing documentation.

Qualifications that are preferred but not mandatory:

Experience developing and maintaining data transformations using dbt

Hands-on experience building forecasting models (e.g., moving averages, exponential smoothing, Prophet)

Experience supporting or building customer success reporting and analytics

Proficiency with version control systems (e.g., Git)

Experience using Python for data analysis, modeling, or automation