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Senior Data Analytics Engineer - BI/AI

AT General Motors
General Motors

Senior Data Analytics Engineer - BI/AI

Austin, TX

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.

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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 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. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Diversity Information

General Motors is committed to being a workplace that is not only free of unlawful 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 encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

General Motors 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 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.

Client-provided location(s): Austin, TX, USA; Warren, MI, USA
Job ID: General_Motors-JR-202424024
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Woman founded/led
    • Employee Resource Groups (ERG)

Company Videos

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