Senior Business Intelligence Engineer

Job not on LinkedIn

🕒 June 16

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Team Velocity

201 - 500 employees

Founded 2005

📣 Marketing

💼 Consulting

🚘 Automotive

Marketing • Consulting • Automotive

Team Velocity is a leading marketing technology provider specializing in the automotive industry. Their platform, Apollo Ads, integrates intelligent marketing technology that allows automotive dealers to effectively advertise their vehicles and engage consumers throughout the ownership lifecycle. By providing personalized, payment-driven offers and seamless online experiences, Team Velocity empowers dealerships to enhance customer loyalty and increase sales, service retention, and trade-ins.

📋 Description

• Lead the design, development, and optimization of enterprise dashboards, reports, and self-service analytics solutions. • Partner with executive leadership, product, sales, marketing, and operations teams to define KPIs and reporting strategies. • Architect scalable semantic models and reporting standards across the organization. • Develop executive, operational, and customer-facing analytics products. • Leverage Snowflake and modern cloud data platforms to transform and optimize large datasets for reporting. • Drive adoption of Microsoft Fabric, Power BI, Tableau, Looker, or similar BI technologies. • Collaborate with Data Engineering and Analytics Engineering teams to improve data pipelines and data quality. • Identify opportunities for automation and process improvements. • Establish data governance, metric definitions, and reporting best practices. • Mentor junior BI engineers and analysts while promoting engineering excellence. • Present findings and recommendations to senior leadership and business stakeholders.

🎯 Requirements

• 7+ years of experience in business intelligence, analytics engineering, data analytics, or related disciplines. • Expert-level SQL skills and extensive experience with Snowflake or similar cloud data platforms. • Advanced experience with Power BI, Microsoft Fabric, Tableau, Looker, or equivalent BI platforms. • Strong understanding of dimensional modeling, semantic layers, KPI frameworks, and enterprise reporting architecture. • Experience working with large, complex datasets and optimizing query performance. • Ability to communicate technical concepts to executive and non-technical audiences. • Experience leading projects and influencing cross-functional teams. • Strong commitment to data quality, governance, and documentation. • Preferred Experience Automotive industry experience with dealership, OEM, consumer, telematics, aftermarket, finance, or mobility data. • Experience with Python, dbt, analytics engineering workflows, and modern ELT architectures. • Knowledge of cloud ecosystems and data integration technologies. • Experience building customer-facing analytics products. • Experience mentoring teams in a remote-first environment.

🏖️ Benefits

• medical • dental • vision • unlimited paid leave • 401(k) matching • wellness • more

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