Analytics Engineer

Wellthy

3d • $125,000 - $152,000 • Remote

About The Position

Wellthy is seeking an Analytics Engineer to build and maintain the data stack that supports company analysis, insights, reporting, and decision-making. The role partners with teams across Marketing, Product, Client Success, and the Care Team, and reports directly to the VP Data, Product, and Engineering Operations. The Analytics Engineer will work with senior teammates on more complex modeling and architecture decisions, with opportunities to take on greater scope over time.

The role uses a modern data stack that includes Fivetran, Snowflake, dbt, Hightouch, Snowplow, DeepNote, Metaplane, and Omni. The position is fully remote within the United States, though Wellthy is not accepting candidates based in Alaska, Hawaii, Idaho, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, or West Virginia. Working from home requires a strong internet connection, a quiet space for calls, and a professional, distraction-free environment.

Requirements

• 2–5 years of experience in analytics engineering or a closely related role.
• Experience with analytics modeling, such as dimensional modeling and staging, intermediate, and mart layers.
• Strong SQL skills.
• Hands-on experience building and maintaining data transformations with dbt or similar tools.
• Comfort using the command line and version control, including git.
• Experience querying a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Experience using AI tools such as Claude, Cursor, or GitHub Copilot to write, explain, and QA code, with the judgment to review, test, and validate AI-generated output before production.
• Strong communication, problem-solving, curiosity, and commitment to lifelong learning.
• Openness to learning, experimenting, and evolving; comfort with emerging technology and curiosity about how AI can support workflows or help families.
• For remote work, a strong internet connection, a quiet space for calls, and a professional, distraction-free environment.

Nice To Haves

• Experience writing basic Python scripts for data processing, API calls, or automation.
• Experience working with user event tracking data for product analytics, such as Snowplow, Segment, or RudderStack.
• Experience building reports in modern BI tools such as Omni, Looker, Tableau, or ThoughtSpot.
• Experience automating data workflows.
• Familiarity with AWS tools such as S3 and Lambda.

Responsibilities

• Build and maintain dbt data transformations for analytics and help end users perform self-service reporting and data exploration.
• Apply software engineering best practices to write efficient, well-tested code and improve the performance and automation of ELT processes and analytic workflows.
• Collaborate with data analysts, data engineers, and business stakeholders to gather and translate data requirements for downstream analysis and projects.
• Support company-wide efforts to improve data quality, accessibility, and governance.
• Write and maintain tests to ensure data quality and integrity.
• Participate in evaluations of analytics tools to help meet organizational needs.
• Follow and contribute to data team best practices, workflows, and documentation as the data function develops.
• Troubleshoot data issues, communicate findings and processes clearly to internal stakeholders, and escalate complex problems when needed.
• Work with senior team members on modeling and architecture decisions, with opportunities to take on greater scope over time.

Benefits

• Stock options.
• Medical, dental, and vision benefits within 30 days of hire.
• Retirement savings account with matching company contributions.
• Mental health benefits.
• 15 days of paid vacation, with two additional days for each subsequent year up to a maximum of 25 days.
• Sick and caregiving days.
• Professional development initiatives.
• Generous maternal and paternal parental leave during a new child’s first year, whether born into or adopted by the family, and pregnancy loss leave.
• Remote work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed