Job Information
General Motors Senior Data Analytics Engineer – BI/AI in Warren, Michigan
Job Description
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to one of the following locations: Warren, MI or Austin, TX you are expected to report to that location three times a week, at minimum.
The Ideal Candidate:
We are seeking a highly skilled and enthusiastic Senior Business Intelligence (BI) Analytics Engineer to join our Manufacturing IT organization. The ideal candidate will play a crucial role in collaborating across business functions, understanding business priorities, analyzing data, developing executive visualizations, trailblazing new Artificial Intelligence (AI) solutions, and mining insights for the Manufacturing organization from the boardroom to the Manufacturing floor.
The Role:
You will lead, design and develop complex data assets such as impactful visualization reports, dashboards and self-service data products to aid decision making. You will help develop cutting edge AI products that help our Manufacturing business be more efficient. You will collaborate with stakeholders to understand business needs, have a consultative approach and develop quantitative and qualitative solutions, and possess compelling storytelling skills to effectively articulate business insights. You are expected to have strong statistical and business analytics skills, build analytic solutions and support the dynamic needs of the business teams. This role requires flexibility and the ability to thrive in a fast-paced environment with quick turnaround times.
What You’ll do:
Define, implement, and lead best practices and patterns for creating scalable, high-quality, executive visualizations.
Collaborate with business stakeholders to identify opportunities and provide rapid analytic solutions as a consultant and trusted partner.
Gain a deep understanding of the business, think strategically and comprehensively, and effectively communicate complex solutions through storytelling.
Retrieve data from different source systems, integrate large volumes of data, applying your strong expertise in SQL, Databricks, Power BI or equivalents.
Analyze complex data to develop insights and address business issues.
Collaborate with other BI engineers, data engineers, AI engineers, data scientists, developers, product owners, program managers, and business stakeholders to understand data requirements and visualization needs while identifying, developing key metrics and KPIs for tracking business performance and progress.
Engage with UX/UI designers to ensure seamless and user-friendly experience in data visualizations.
Stay abreast of emerging trends and technologies in data, BI, AI and proactively find opportunities for implementation within Manufacturing data products.
Mentor other junior resources.
Additional Job Description
Your Skills & Abilities (Required Qualifications):
Education: Bachelor's degree or higher in Computer Science, Data Science, Information Systems, AI, or related field or relevant experience.
Experience: 7+ years of experience as a BI Systems Engineer, Data Analyst, Analytics Engineer, AI Engineer or equivalent with development, testing, deployment and management of BI, AI, and mining business insights with analytics.
Business Intelligence: Power BI preferred, Tableau/Cognos a plus.
Database: strong proficiency in SQL, Cloud (Databricks), Oracle, SQL Server, Hadoop.
Data Transformation: Understanding of data manipulation and transformation techniques.
Analytics: Familiarly with Large Language Models (LLM).
Other Skills: Excellent problem-solving skills and the ability to think critically about data visualization challenges. Compelling story telling skills, strong knowledge of data visualization, best practices, principles, and techniques required. Strong communication skills and a collaborative mindset to work effectively in cross-functional teams. Attention to detail and a passion for creating visually compelling and informative data visualizations. Natural curiosity with the ability to work both independently and proactively. Experience managing, analyzing, and communicating results to senior leadership.
What Will Give You A Competitive Edge (Preferred Qualifications):
Education: Master’s in computer science, Data Science, Information Systems/related field or relevant experience.
Experience: 10+ years of experience as a BI Systems Engineer, Data Analyst, Analytics Engineer, AI Engineer or equivalent with development, testing, deployment and management of BI, AI, and mining business insights with analytics.
Software Development: Python, .Net C#, or React experience including CICD.
Advanced Analytics: AI, Prompt Engineering, Data Science, and ML modeling skills.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. PLEASE DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
Our Company (https://search-careers.gm.com/en/working-at-gm/)
Our Culture
How we hire (https://search-careers.gm.com/en/how-we-hire/)
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global location s
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.