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Data Analyst

Columbus, Ohio, United StatesHybridFull TimePosted 2 months ago

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Role summary

A leading national auto glass company is seeking a Hybrid Lead Business Intelligence Engineer to provide technical leadership for BI engineering, ensuring scalable and governed analytics solutions. The role involves designing and building reusable semantic layer components, acting as a player-coach to mentor BI Developers, and partnering with Data Engineering. Key requirements include expert-level SQL, deep experience with cloud data warehouses like Snowflake, advanced proficiency in BI tools (Tableau/Power BI), strong dbt expertise, and hands-on Python skills for data transformation. The company offers a competitive salary, comprehensive benefits, tuition reimbursement, and a commitment to work/life balance.

Lead Business Intelligence Engineer | Hybrid

We are hiring for a leading national auto glass company, dedicated to building fulfilling careers and fostering a positive work environment. We focus on innovation and comprehensive benefits to support our team's growth.

The Role

• Provide technical leadership and direction for BI engineering, ensuring scalable and governed analytics solutions.

• Design, build, and enhance semantic layer content with reusable components for scalable analytics.

• Act as a player-coach, contributing hands-on to BI engineering while mentoring BI Developers.

• Partner closely with Data Engineering to align on data flows and platform patterns.

• Support BI platform strategy with technical input on tooling and roadmap decisions.

• Serve as an escalation point for complex BI architecture decisions and data quality issues.

What You'll Need

• Bachelor's Degree in analytics, computer science, statistics, or a related field strongly preferred.

• 7-9 years of experience in BI, analytics engineering, or analytics-focused roles.

• Expert-level SQL proficiency with advanced optimization and complex transformations.

• Deep experience with cloud data warehouses (e.g., Snowflake) and data transformation layers.

• Advanced proficiency with BI and visualization tools such as Tableau or Power BI.

• Strong expertise with dbt, including semantic layer design and development.

• Hands-on Python skills for data transformation and analytical workflows.

What's On Offer

• Competitive weekly pay and bonus opportunities.

• Comprehensive benefits package including 401(k) with company matching and medical coverage.

• Up to $5,250 in tuition reimbursement per year.

• Commitment to work/life balance through PTO and paid volunteer days.

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