Senior Analytics Engineer

At Carrum, we are transforming how we pay for, deliver and experience healthcare. If you are passionate about changing healthcare and want to finally get rid of surprise bills, poor quality, and high prices, while thriving in an entrepreneurial, cutting-edge environment, we would love to connect with you.

In 2014 Carrum reinvented the Centers of Excellence (COE) category in digital health. Today, 95% of the US population lives within 50 miles of a Carrum COE and our providers rank in the top 10% nationally. Our team’s execution has been recognized by the venture community and we’ve raised more than $96M in aggregate from investors like OMERS, Tiger Global Management and Wildcat Ventures. Our impact has been externally proven in a 2021 RAND Corporation study and featured as a Harvard Business School (HBS) case study.

We are looking for an experienced Senior Analytics Engineer to join our dynamic data team. This role will be instrumental in improving data-driven decision making by designing, developing, and maintaining a high quality data warehouse and robust analytics solutions. The ideal candidate will have a strong foundation in data engineering principles, a passion for data analytics, and a proven track record of delivering high-quality results in a fast-paced environment.

Reporting to the Data Analytics Manager, you will empower teams across the company to generate reports for internal and external stakeholders and to independently develop reliable insights to drive company strategy. You will help shape analytics engineering for the data team, working closely with analytics, data science, and data operations to ensure data analytics pipelines are accurately and efficiently running and serving end-users. You will also be deeply involved in defining and enabling self-service business analytics, intelligence, and discovery. You’ve hustled, you’ve created, you’ve implemented, and you love the intensity of a startup in high-growth mode. 

The salary range for this role is $130,000 -$160,000 depending on level of experience and geographic location. 

You’re excited about this opportunity because you will…

• Identify, define, and document Carrum’s core business logic
• Take an active role in migrating to our next-generation data infrastructure in Microsoft Azure, and provide technical leadership in evaluating and selecting an upgraded data warehouse stack
• Build and maintain data models and data marts, and write automated tests to monitor and ensure data is high quality, complete, and certified fresh
• Document and evangelize the adoption of this foundational source of truth data for strategic decision making
• Formalize processes for change management and version control 
• Collaborate with data engineers, data scientists, data analysts, and business stakeholders to understand their data needs and translate them into technical requirements, then partner with other engineering teams to make it happen
• Propose and deliver automation solutions that reduce toil and repetitive tasks, freeing up time for higher-leverage work
• Be responsive to the needs of stakeholders with sometimes very tight turn-around requirements while looking to build scalable tools to further Carrum’s growth objectives

We’re excited about you because you have…

• 7+ years of experience in data engineering and/or analytics engineering and a degree in a quantitative discipline, or 10+ years of relevant experience with a proven track record of delivering successful analytics solutions
• Deep expertise in SQL, dbt, python, and software development best practices
• Have experimented with or adopted AI productivity tools and are intellectually curious about how AI is transforming analytics engineering
• Working knowledge of cloud environments like AWS or Azure
• Working knowledge of data warehousing tech like DBT, Snowflake, Synapse, Databricks, and Fabric; DBT certification is a highly preferred
• Experience with dashboarding tools like Tableau, Looker, and/or Sisense
• A strong grasp of data warehousing, scheduling, data modeling, and data quality
• An innate curiosity, an eye for detail, and excellent problem-solving and analytical skills. You stay up-to-date with the latest trends and technologies in data and analytics engineering.
• The ability to work independently and as part of a team coupled with strong communication skills, both written (documentation and comments) and verbal
• A relative comfort with ambiguity and a mission driven mindset which makes you proactively seek to make things more smooth and scalable, rather than waiting for a solution to