Spring Health

Senior Analytics Engineer

Spring Health

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $159,100 - $170,000 per year

Job Level

Senior

Tech Stack

Amazon RedshiftBigQueryCloudSpringSQLTableau

About the role

  • Develop and maintain dbt-based data models and overall dbt project infrastructure to support key business metrics, ensuring scalability, reliability, and alignment across teams.
  • Work with data analysts, data scientists, and upstream data engineering partners to define and deliver on shared goals. Align with stakeholders to ensure their requirements translate into impactful data solutions.
  • Build comprehensive, accessible documentation for data models, ensuring that downstream teams can easily access and confidently use trusted metrics.
  • Lead initiatives to monitor, troubleshoot, and enhance data quality, ensuring data is auditable, reliable, and fit for purpose.
  • Provide mentorship on SQL, dbt, and data modeling best practices, supporting both junior team members and cross-functional partners.
  • Solve complex, loosely scoped problems in ambiguous domains, contributing to high-leverage modeling work that unlocks impact for downstream users.
  • Ensure critical business metrics are supported by well-documented, performant dbt models that enable consistent and reliable decision-making.
  • Own the core reporting infrastructure that empowers data scientists, data analysts, and business users across the company.

Requirements

  • Passion for changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
  • 5+ years of working experience working with data, data visualization, and dashboarding tools
  • Advanced proficiency in SQL, dbt, and data modeling
  • Strong experience with cloud-based environments like Snowflake, Redshift, or BigQuery
  • Proficiency in using BI reporting tools like Tableau, Looker, Sigma, etc to build dashboards and visualize data
  • Proven ability to work with diverse teams, translating stakeholder needs into scalable solutions while fostering cross-functional alignment
  • Exceptional communication skills, adapting your approach to effectively engage with audiences from junior analysts to senior executives
  • Strong ability to identify and resolve root causes of data discrepancies, building solutions that ensure long-term reliability and consistency
  • Dedication to creating documentation, sharing knowledge, and mentoring others to drive better data practices across the organization
  • Thrive in a fast-paced environment, independently managing priorities while maintaining a focus on delivering high-impact results