[Remote] BI Engineer at General Motors

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Marketing, TechnologyIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or related field
5+ years of experience in BI engineering, preferably in marketing analytics or digital performance domains
Master of Microsoft Excel and various BI tools (Tableau, PowerBI), and analytical tools
Experience and validated mastery of dynamic data warehouse concepts/methodologies to implement business intelligence solutions
Write efficient Structured Query Language (SQL) using various SQL-development software packages including Teradata and Oracle PL/SQL; comfortable using custom SQL for complex data pulls
Experience with Adobe Experience Platform (AEP), WebSDK, CJA, and RTCDP is highly desirable
Strong understanding of media measurement frameworks and digital consumer journey analytics
Familiarity with cloud platforms (Azure preferred) and data governance practices
Excellent communication and stakeholder management skills

Responsibilities

Lead the development and automation of Power BI dashboards for media performance across channels (Display, Search, Social, Cross-platform) and website engagement metrics
Maintain and evolve self-service reporting tools supporting 17 brands across 22 markets
Collaborate with internal stakeholders to define taxonomy, enforce naming conventions, and ensure data governance compliance
Integrate data from Adobe RTCDP, AAM, and other MarTech platforms to support real-time analytics and audience segmentation
Support campaign-level reporting and closed-loop attribution analysis for media and site KPIs
Partner with MAS Performance Analytics Squads to deliver in-market insights and support brand-level marketing decisions
Ensure data quality, integrity, and consistency across reporting layers including Gold Layer creation for CRM and Site Reporting
Identify and troubleshoot data-related issues, optimize data pipelines, and support migration efforts (e.g., OnPrem to Azure)
Demonstrate very good understanding of processes and procedures relevant to own work area with ability to exercise decision-making skills to identify and propose solutions to leadership
Identify and correct non-routine problems in existing systems and processes through independent judgment; independently identify and apply appropriate company policies and procedures to resolve issues
Work under general supervision with limited guidance and direction; determine appropriate course of action within broad guidelines and handle nearly every standard or typical request independently
Recommend types of reporting analytics and procedures to apply to meet stated business objectives
Train and guide business partners focused on data analysis methodology, reporting, and tools
Prepare documentation and analytical reports that effectively summarize results, assumptions, and conclusions

Skills

Key technologies and capabilities for this role

Power BISQLAzureData PipelinesData GovernanceAdobe RTCDPAAMMarTechETLDashboard DevelopmentReal-time AnalyticsAudience SegmentationAttribution AnalysisCRMData Quality

Questions & Answers

Common questions about this position

Is this BI Engineer role remote or does it require office attendance?

The role is based remotely, but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week at minimum.

What are the key responsibilities for the BI Engineer?

You will lead development and automation of Power BI dashboards for media performance and website engagement, maintain self-service reporting tools, collaborate on data governance, integrate MarTech data, and ensure data quality across reporting layers.

What technical skills are required for this position?

Proficiency in Power BI for dashboard development, experience with data pipelines, Azure migration, Adobe RTCDP, AAM, and MarTech platforms, along with skills in data governance, quality assurance, and real-time analytics.

What kind of collaboration is involved in this role?

You will collaborate with cross-functional teams including MarTech, Media One, EDAI, external partners like Google, Meta, Amazon, and MAS Performance Analytics Squads to build dashboards, support analytics, and deliver in-market insights.

What makes a strong candidate for this BI Engineer role?

Strong candidates demonstrate independent judgment to identify and resolve issues, work under general supervision, recommend analytics procedures, train business partners on data tools, and prepare effective documentation and reports.

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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