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Senior Analytics Engineer

Spring Health LogoSpring Health
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Salary

The target base salary range for this position is $159,100 - $170,000

Location

Remote

Spring Health is growing our Analytics Engineering team. Analytics Engineering at Spring sits within the Business Intelligence organization and owns core reporting infrastructure used by all downstream data scientists and data analysts. In this role you will focus on building robust models, ensuring consistency across the models we build for the business, and creating documentation that enables downstream teams to access, understand, and use data effectively. Success will require you to collaborate closely with finance and other cross-functional teams to understand our data needs, and translate them into data models that serve those needs.

What you’ll be doing:

  • Develop and maintain core data models in dbt to support key business metrics and ensure data consistency.
  • Collaborate closely with finance and other data analysts to define and finalize critical business metrics and ensure proper data infrastructure to serve them.
  • Ensure downstream teams can access and utilize data effectively by providing comprehensive documentation and support.
  • Collaborate with other analytics engineers to ensure we’re providing consistent data across the entire organization
  • Drive data quality initiatives by building monitoring systems and creating processes that guarantee accurate, auditable data.
  • Regularly audit and review data models to maintain their relevance and accuracy, ensuring long-term data integrity across the organization.

What success looks like in this role:

  • Downstream data teams consistently rate their access to high-quality data as excellent, with clear documentation that allows them to find and use the data confidently and effectively.
  • The data models you build provide answers to critical business questions that are consistent across the organization
  • The models you build are highly performant; they contribute to a positive experience in dbt and continue to drive down cloud data costs.

What we expect from you:

  • You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you.
  • You have 5+ years of working experience working with data, with a focus on data pipeline tools
  • You are an expert with SQL and have deep experience working with modern data transformation tools, such as dbt or similar, to create and manage scalable data models.
  • You have experience building and maintaining data pipelines in cloud-based environments such as Snowflake, Redshift, or BigQuery, ensuring data is easily accessible and reliable.
  • You enjoy digging into data discrepancies or issues to determine and fix root causes, ensuring high standards of data integrity across the organization.
  • You have hands-on experience with data visualization tools (e.g., Looker, Tableau, Power BI) to build or support self-serve dashboards that empower non-technical teams.
  • You have an interest in data quality, including the ability to design systems that ensure accuracy, consistency, and auditability of key business metrics.
  • You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders
  • You have exceptional communication skills, and are comfortable working independently with executive level team members
  • You are humble, highly motivated, and thrive in fast-paced environments
  • You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact

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