Business Intelligence Engineer
About The Position
The Business Intelligence Engineer is responsible for the development, maintenance, and adoption of business intelligence solutions. These responsibilities include working with operational leaders to build dashboards and reports they can use to make data-driven decisions and will serve as the primary technical resource for our business intelligence software stack, providing design and development deliverables. This person must have a passion for building solutions from the ground up as well as the ability to support existing analytics solutions. This role is the sole internal business intelligence resource for the organization and is expected to bring both the technical foundation to contribute immediately and the curiosity to continuously expand their skills as our data needs evolve.
Requirements
- 3-5 years of experience in a Business Intelligence, Data, Analyst, or similar role.
- Proficiency in SQL with hands-on experience in a cloud data warehouse environment. (Snowflake strongly preferred)
- Experience with Python for data manipulation, scripting, and automation.
- Familiarity with data integration/ETL tools (experience with Boomi / Rivery preferred)
- Experience building dashboards and reports in a modern BI visualization tool (Sigma, Tableau, Power BI, Looker, etc.)
- Strong ability to work independently, manage competing priorities, and communicate technical concepts to non-technical stakeholders.
Nice To Haves
- Direct experience with Boomi, Snowflake, and Sigma in a production environment.
- Experience working as a solo BI resource or in a small team environment.
- Exposure to data governance, documentation, and roadmap planning.
- Experience building reporting for the field services industry.
Responsibilities
- Partner with operational stakeholders to gather reporting requirements, translate business needs into technical solutions, and deliver actionable insights.
- Build, maintain, and optimize data ingestion workflows using Boomi/Rivery.
- Design and manage data models, transformations, and within Snowflake.
- Develop and publish dashboards, reports, and self-service analytics using Sigma.
- Write clean, efficient SQL and Python to support data transformation, automation, and ad hoc analysis.
- Automate existing manual reporting process to reduce operational burden and improve efficiency.
- Maintain data quality standards, documentation, and best practices.
- Serve as the internal subject matter expert for all BI tools.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
