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Analytics Engineer

Job not on LinkedIn

🔥 1 minute ago

🐻 Alaska, Hawaii, +9 more states – Remote

infoinfo

💵 $125k - $152k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

Where this job comes from

Posted on Wellthy's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Wellthy

Wellthy

201 - 500 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

💰 $25.5M Venture Round on 2023-05

Healthcare • Healthcare Insurance • Wellness

Wellthy is a company that provides personalized care solutions aimed at helping families, employees, employers, and health plans manage various caregiving needs. They offer dedicated support from a team of experts in social work, patient advocacy, nursing, and more, helping families navigate complex healthcare systems, manage care needs across various life stages—from family planning and childcare to aging, dementia, and end-of-life care. Wellthy leverages both human expertise and technology to achieve better mental health outcomes, increase productivity, and reduce employee leave for their clients. They focus on delivering a supportive care experience and achieving a high return on investment for employers by assisting with caregiving tasks and supporting family caregivers through various tools and community resources.

📋 Description

• 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 the 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 on 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 • Collaborate with Marketing, Product, Client Success, and Care Team • Report directly to the VP Data, Product, and Engineering Operations

🎯 Requirements

• 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 • To work from home, you must have a strong internet connection, quiet space to take calls and a professional (distraction free) environment.

🏖️ Benefits

• 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 years (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.

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