Senior Business Intelligence Engineer

Senior Business Intelligence Engineer

The Senior Business Intelligence Engineer is a hands-on technical contributor embedded within the BI team, responsible for building reliable analytics solutions and supporting BI Analysts. This position involves collaborating closely with business stakeholders, data engineering, and BI analysts to support the delivery of BI products and reporting data pipelines. This role is focused on ensuring data is modeled, tested, and delivered in a way that creates efficient, scalable, and trusted solutions while delivering actionable insights to support data-driven decision making.

What You Will Do

• Support the development and maintenance of BI assets in the central data hub; optimize SQL, Tableau, and data models; and collaborate with Data Engineers on ingestion, transformations, and Snowflake/dbt modeling using GitHub based CI/CD processes.
• Troubleshoot data quality, lineage, and performance issues while building automated data quality checks and monitoring BI product and pipeline performance to recommend data driven improvements.
• Design and build Tableau dashboards that deliver actionable insights and support strategic business goals.
• Work closely with stakeholders to understand needs, refine requests, and ensure dashboards and BI products are performant, action oriented, and broadly impactful.
• Performs other duties as assigned
• Complies with all policies and standards

What You Will Need

• Bachelor's Degree in analytics, computer science, statistics, or related field Preferred
• 4-6 years Experience in BI, analytics engineering, or analytics-focused roles Required
• 4-6 years Developing, troubleshooting, and optimizing advanced SQL logic Required
• 4-6 years Experience with data visualization tools Required
• 1-3 years Experience working with Snowflake or similar cloud data warehouses Required
• 1-3 years Experience leveraging Python for data analysis and pipeline development Required
• 1-3 years Hands-on experience with dbt Required
• 1-3 years Experience using GitHub for version control and CI/CD Required
• 1-3 years Experience with Fivetran Preferred
• Advanced proficiency in industry-leading BI tools such as Tableau, Power BI, or similar platforms. (High proficiency)
• Ability to work collaboratively with cross-functional teams and stakeholders to effectively design and deliver high ROI solutions. (High proficiency)
• Strong understanding of the analyst's workflow as it relates to both structured and unstructured datasets. (High proficiency)
• Advanced knowledge and experience with core SQL concepts, including window functions, CTEs, nested queries, and other similar techniques. (High proficiency)
• Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and relational databases. (High proficiency)
• Experience transforming and analyzing data at all layers of the warehouse (i.e., staging to mart layer) (High proficiency)
• Ability to collaborate through code-management/version control tools like GitHub. (Medium proficiency)
• Experience contributing to a BI semantic layer and key data marts using tools like dbt, Snowflake, Fivetran (Medium proficiency)
• Python proficiency for data transformation, quality automation, and analytical workflows, with hands on experience building interactive data apps, such as Streamlit, and applying strong data visualization/analysis skills. (Medium proficiency)

What You Will Get:

• Competitive weekly pay and bonus opportunities.
• Total job benefits valued at more than $10k*. This includes a 401(k) plan with company matching, medical coverage plans customized to suit your needs and a commitment to work/life balance through our paid time off (PTO) programs, company holidays and paid volunteer days.
• Up to $5,250 in tuition reimbursement per year.
• View all our health, wealth and life offerings at

Expected Work Location (In Office): It is expected that you will primarily perform work at the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235). You are required to work in the office at least 4 days a week. Changes to work location arrangements are subject to managerial approval and business needs.