✦ Luna Orbit — Data & Analytics

Senior BI Engineer

at AutoNation

Remote Posted April 01, 2026
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Educational background in Computer Science or Engineering, Math, Statistics, Informatics, Information Systems or another quantitative field
Category Data & Analytics

Senior BI Engineer responsible for designing and delivering analytics solutions, dashboards, and data pipelines across the enterprise data architecture.

  • Build analytics tools from data pipeline; Create dashboards and reports; Collaborate with Product and Engineering; Manage data models; Mentor junior BI engineers

Focus on Microsoft BI stack (Power BI, SSRS) with SQL Server, Snowflake, and ETL tooling (Azure Data Factory, DBT). Strong data modeling, dashboards, and cross-functional collaboration are essential.

The ideal candidate is a senior BI engineer with 5+ years of experience, strong Power BI and SSRS skills, and deep SQL/Python data modeling capabilities to drive analytics in automotive contexts.

5+ years BI EngineeringPower BI and SSRSSQL and PythonData modelingETL design
SnowflakeAzure Data FactoryDBTJiraConfluenceCross-functional leadership
Power BISSRSSQL ServerSnowflakeAzure Data FactoryDBTSSISJiraConfluence
BI engineeringPower BISSRSSQLPythonMS SQL ServerSnowflakeAzure Data FactoryDBTETLJiraConfluencedata modelingdashboardsself-service analytics
Power BISSRSSQLPythonMS SQL ServerSnowflakeAzure Data FactoryDBTETLJiraConfluence
Project managementCollaborationCommunicationAnalytical thinking
Industry Automotive
Job Function Lead enterprise BI initiatives delivering dashboards and analytics across the organization
Role Subtype BI Engineer
Tech Domains Power BI, SQL Server, Python, Snowflake, Azure Data Factory, DBT, ETL, SSRS, Jira, Confluence
Senior BI EngineerBI engineerPower BISSRSSQLPythonMS SQL ServerSnowflakeAzure Data FactoryDBTETLJiraConfluencedata pipelinesdata modelingdashboardsvisualizationsself-service analyticshybridremoteautomotiveAutoNation

Requires 5+ years BI Engineering experience, Strong proficiency in Power BI and SSRS, Experience with SQL Server and Python

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