Senior Analytics Engineer

Summary

Join Atropos Health as a Senior Analytics Engineer and play a vital role in optimizing data infrastructure for various teams. You will design and develop robust analytics data products, collaborate with cross-functional teams to assess data needs, and ensure high data quality. Responsibilities include contributing to a reliable data platform, providing refined data for KPI tracking, prioritizing requests, and contributing to data asset documentation. This role requires 5+ years of experience in data infrastructure, analysis, and visualization, expertise in data modeling, strong SQL skills, and experience building data warehouses. The ideal candidate will have a quality mindset, be a team player, and thrive in a fast-paced startup environment. Atropos Health offers a remote-first work environment with various benefits including health insurance, parental leave, a 401k plan, and a flexible vacation policy.

Requirements

• 5+ years of experience in data infrastructure, data analysis, data visualization, and dash boarding tools
• Expertise in correct data modeling principles for analytics (dimensional, bonus points for data vault knowledge), integrating raw data from disparate sources, ETL, python, and building/maintaining data pipelines
• Strong SQL skills
• Experience building data warehouses and optimizing how data is modeled for downstream consumers
• Familiarity with general cloud architecture
• Quality mindset. Must approach data preparation development with data validation, ensuring accuracy and reliability in all data products
• Must be curious, humble, a team player, operate with a bias to action, and have the ability to make decisions when confronted with uncertainty
• Have worked in a fast-paced high-growth startup environment before and is comfortable switching work streams as needed

Responsibilities

• Design and develop robust and efficient analytics data products, such as data models, schemas, ETL jobs, data sets, BI visualizations, etc
• Collaborate in partnership with engineering, product, and other business teams to assess data and analytics needs
• As part of development, ensure high level of data quality within data products through data validation and disciplined design practices
• Contribute to a reliable and usable platform to deliver insights through raw data delivery, SQL access, API endpoints, and BI tooling
• Provide refined data to business users to enable KPI tracking and foster a culture of data-driven decision-making
• Prioritize inbound requests from multiple teams and establish the business context for efficient problem-solving
• Contribute to data asset documentation, data modeling, data validation and profiling, and tooling decisions

Benefits

• Our benefit package includes employer paid Medical, Dental, Vision, Life, STD, and LTD insurance. We also offer FSA
• We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months
• Save for retirement through our 401k plan with Human Interest
• We're a remote first company with a flexible vacation policy
• All full-time employees will receive a stipend to support their remote office setup
• As a remote company we take time 2-3 times a year to get together in small teams and all together as a company