Transforming psychiatry with accessible, human, and responsible care

Business Intelligence Engineer – Manager

Business Intelligence DeveloperBusiness Intelligence DeveloperFull TimeRemoteTeam 501-1,000H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

50 days ago

Salary

$180K - $220K / year

Bachelor Degree6 yrs expEnglishAirflowAmazon RedshiftCloudSDLCSQLTableau

Job Description

• Lead and mentor a team of 5 BI professionals, fostering a culture of ownership, strategic thinking, and continuous improvement. • Build, evolve, and maintain our analytics engineering standards and products including our data model repository and self-service analytics infrastructure to maximize usability and data trust. • Ensure BI systems follow engineering best practices, including SDLC, version control, CI/CD, and production readiness, and serve as an escalation point for data correctness or reliability issues. • Partner cross-functionally with Engineering, Product, Operations, Marketing, and Finance to understand business needs and deliver scalable BI solutions. • Drive adoption of data tools and insights by championing user enablement and intuitive data experiences. • Provide hands-on guidance and technical oversight for complex analytical challenges, ensuring data product accuracy, efficiency, and performance. • Translate complex data and technical concepts into clear, actionable narratives to inform leadership decision-making. • Guide your team in prioritizing and sizing analytical work for speed and impact, ensuring rigorous scoping of all BI initiatives. • Promote data governance and best practices to ensure data quality, compliance, and integrity across all outputs.

Job Requirements

6+ years of experience in Business Intelligence, Analytics Engineering, or a related field, including 3+ years of experience managing BI teams.
Proven success delivering scalable BI solutions and managing large, complex analytics projects end-to-end.
Hands-on experience building and maintaining analytics codebases using modern engineering practices (e.g., dbt, version control, CI/CD).
Deep technical expertise with BI tools (e.g., Looker, Tableau, Power BI), cloud data warehouses (e.g., Snowflake, Redshift), and transformation and orchestration tools (e.g., DBT, Airflow).
Fluency in SQL and data modeling best practices.
Experience analyzing A/B tests and partnering with product teams to define and measure success.
Demonstrated ability to turn ambiguous business questions into structured analysis, technical designs, and strategic recommendations.
A proactive, systems-thinking mindset with the ability to identify leverage points across business, product, and operations.
Strong collaboration and communication skills, with the ability to influence stakeholders across technical and non-technical teams.

Benefits

Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!