Senior Data Scientist

Our mission: to eliminate every barrier to mental health. 

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person  — whether that’s meditation, coaching, therapy, medication, and beyond. 

Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like J.P. Morgan Chase & Co., Microsoft, J.B. Hunt, Bumble, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $370 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership, our current valuation has reached $2.5 billion.

The business intelligence org includes a number of embedded analysts, who are the analytics experts within cross functional teams. We’re looking to expand this team, adding an analytics engineer to our Strategic Business Unit (SBU) group. In this role you’ll get to work with relatively new ventures within Spring that we’re looking to quickly mature. These teams are still early in their data journey. The focus to start will be on getting the fundamentals right: understanding the core reporting needs for these business lines, and then building out the data infrastructure in dbt to execute on those needs. Bonus points if you’re excited to turn the data infrastructure into a set of Looker dashboards that help the team understand how their area of the business is operating.

What you’ll be doing

• Work with the SBU team to understand current data sources and landscape, data needs, and current pain points; and then develop the vision and roadmap for the the team's data infrastructure
• Collaborate with the core BI and data engineering teams to implement the data infrastructure design, building new the data mart tables within dbt that will unlock the analyses teams need to perform
• Partner with the SBU team to build out dashboards that will enable the teams to understand how their business is operating and then optimize it
• Monitor and manage the integrity of the data within the tools you build to ensure data accuracy 
• Prioritize inbound requests from multiple teams, using business context and collaboration with stakeholders to determine the order in which to approach problems
• Collaborate with teams to understand our business, help craft KPIs and then create reports to measure them

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, data visualization, and dashboarding tools
• You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into reporting solutions that meaningfully improve their ability to operate
• You are an expert in SQL, and have experience working to structure raw data via ELT / ETL processes, using tools like dbt
• You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards
• 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
• You have a passion for successfully navigating ambiguous problem areas and learning new approaches

What we’d love to see (bonus)

• You don’t take no for an answer, and enjoy finding work arounds for limitations in data to get stakeholders the answers they need
• You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc)

The target salary range for this position is $125,000 - $145,850 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure compet