[Hiring] Analytics Engineer @Wellthy

Role Description

As an Analytics Engineer, you will help company leaders make better decisions by building and maintaining our data stack to power analysis, insights, and reports. You will work closely with all areas of our organization (Marketing, Product, Client Success, and Care Team) and report directly to our VP Data, Product, and Engineering Operations.

• Build and maintain data transformations using dbt for analytics, and help empower end users to do self-service reporting and data exploration.
• Apply software engineering best practices to write efficient, well-tested code and contribute to improving the performance and automation of our ELT process and analytic workflows.
• Collaborate with data analysts, data engineers, and business stakeholders to gather and translate data requirements for downstream analyses and projects.
• Support company-wide efforts to improve data quality, accessibility, and governance.
• Ensure data quality and integrity by writing and maintaining tests.
• Participate in evaluations of analytics tools to help meet the needs of the organization.
• Follow and contribute to data team best practices, workflows, and documentation as we build a sustainable and scalable data function.
• Troubleshoot data issues and clearly communicate findings and processes to internal stakeholders, escalating complex problems when needed.
• Work closely with senior team members who will provide guidance on more complex modeling and architecture decisions, with opportunities to take on greater scope over time.
• Use a modern data stack of Fivetran, Snowflake, dbt, Hightouch, Snowplow, DeepNote, Metaplane, and Omni.

Qualifications

• 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.
• 2–5 years of experience in analytics engineering or a closely related role.
• Experience with analytics modeling (e.g. dimensional modeling, staging/intermediate/mart layers).
• Strong SQL skills.
• Hands-on experience building and maintaining data transformations with dbt or similar tools.
• Comfortable using the command line and version control (git).
• Experience querying a cloud data warehouse (e.g. Snowflake, BigQuery, or Redshift).
• Experience using AI tools (e.g. Claude, Cursor, GitHub Copilot) to write, explain, and QA code, along with the judgment to review, test, and validate AI-generated output before it goes into production.
• Strong communicator, life-long learner, problem solver, and always curious.

Requirements

• Experience writing basic Python scripts (e.g. for data processing, API calls, or automation).
• Experience working with user event tracking data to support product analytics (e.g. Snowplow, Segment, Rudderstack).
• Experience building reporting in modern BI tools (e.g. Omni, Looker, Tableau, Thoughtspot).
• Experience automating data workflows.
• Familiarity with AWS tools (e.g. S3, Lambda).

Benefits

• Salary Range: $125,000.00 - $152,000.00.
• Stock Options.
• Remote work environment.
• Medical, dental, and vision benefits within 30 days of hire.
• Retirement saving account with matching company contributions.
• Mental health benefits.
• 15 days paid vacation, two additional days for each subsequent year (up to a maximum of 25 days).
• Sick and Caregiving Days.
• Professional development initiatives for growth.
• Generous parental leave (maternal and paternal) during a new child’s first year (born into family or adopted) and pregnancy loss leave.

Company Description

At Wellthy, we dream of a world where everyone has the care infrastructure they need to manage their own health and the health and well-being of their loved ones. We’re building something new in the care space - reimagining how care is delivered, accessed, and supported by families around the globe. 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 partner with leading companies including more than 40 Fortune 500 companies to support the care needs of their workforces globally.
• We also work alongside health plans and carriers to embed care support into their offerings, enhancing the experience and outcomes for members.