Senior Business Intelligence Engineer

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Oversee the design, development, and enhancement of enterprise dashboards, reports, and self-service analytics solutions.

• Collaborate with executive leadership, product, sales, marketing, and operations teams to establish KPIs and reporting strategies.

• Create scalable semantic models and reporting standards throughout the organization.

• Build analytics products aimed at executives, operations, and customers.

• Utilize Snowflake and modern cloud data platforms to transform and optimize extensive datasets for reporting purposes.

• Promote the use of Microsoft Fabric, Power BI, Tableau, Looker, or other similar BI technologies.

• Work alongside Data Engineering and Analytics Engineering teams to enhance data pipelines and ensure data quality.

• Explore automation opportunities and process enhancements.

• Implement data governance, define metrics, and establish reporting best practices.

• Guide junior BI engineers and analysts while fostering engineering excellence.

• Present insights and recommendations to senior leadership and business stakeholders.

⛳️ Requirements

• 7+ years of experience in business intelligence, analytics engineering, data analytics, or related fields.

• Proficient SQL skills and significant experience with Snowflake or comparable cloud data platforms.

• Advanced expertise in Power BI, Microsoft Fabric, Tableau, Looker, or similar BI tools.

• Strong grasp of dimensional modeling, semantic layers, KPI frameworks, and enterprise reporting architecture.

• Experience handling large, complex datasets and optimizing query performance.

• Ability to convey technical concepts to both executive and non-technical audiences.

• Proven experience leading projects and influencing cross-functional teams.

• Strong dedication to data quality, governance, and thorough documentation.

• Preferred: Experience in the automotive industry, including dealership, OEM, consumer, telematics, aftermarket, finance, or mobility data.

• Familiarity with Python, dbt, analytics engineering workflows, and contemporary ELT architectures.

• Understanding of cloud ecosystems and data integration technologies.

• Experience developing customer-facing analytics products.

• Background in mentoring teams within a remote-first environment.

🏝️ Benefits

• Medical

• Dental

• Vision

• Unlimited paid leave

• 401(k) matching

• Wellness

• More