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Manager Data Analytics Engineer Jobs in Rochester Hills, MI

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

... and Oracle SQL Developer to perform Complex data analysis to support General Motors' Global ... Certification Management System (SCMS) in cross-functional and cross-departmental projects.

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

... and Oracle SQL Developer to perform Complex data analysis to support General Motors' Global ... Certification Management System (SCMS) in cross-functional and cross-departmental projects.

Lead Analytics Engineer

Troy, MI · Remote

$80K - $115K/yr

... manage bronze/silver/gold data modeling patterns within a Delta Lake or comparable lakehouse ... on analytics engineering best practices, data modeling standards, and technical approaches • ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders. * Define data governance, model lifecycle management, and responsible AI standards to ensure ...

Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders. * Define data governance, model lifecycle management, and responsible AI standards to ensure ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

... Data Lake, Synapse Analytics and Data Catalog as appropriate * Works with the Manager, Data ... Experience with one or more object-oriented programming languages such as Python, C#, Java or ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

... Data Lake, Synapse Analytics and Data Catalog as appropriate * Works with the Manager, Data ... Experience with one or more object-oriented programming languages such as Python, C#, Java or ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

... Data Lake, Synapse Analytics and Data Catalog as appropriate * Works with the Manager, Data ... Experience with one or more object-oriented programming languages such as Python, C#, Java or ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

... Data Lake, Synapse Analytics and Data Catalog as appropriate * Works with the Manager, Data ... Experience with one or more object-oriented programming languages such as Python, C#, Java or ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Rochester Hills, MI salary details

$41K

$119.4K

$163.4K

How much do manager data analytics engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for manager data analytics engineer in Rochester Hills, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are popular job titles related to Manager Data Analytics Engineer jobs in Rochester Hills, MI? For Manager Data Analytics Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Rochester Hills, MI look for? The top searched job categories for Manager Data Analytics Engineer jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Manager Data Analytics Engineer jobs? Cities near Rochester Hills, MI with the most Manager Data Analytics Engineer job openings:
Data Analytics Engineer

Data Analytics Engineer

General Motors

Warren, MI • Hybrid

$107K - $129K/yr

Full-time

Posted 6 days ago


Key responsibilities

  • Create and maintain reports and dashboards using Microsoft Power BI, Excel, SharePoint, Python, and Oracle SQL Developer to support General Motors' Global Supplier Quality and Development organization.

  • Develop tools and visualizations to aid leadership in data-driven decision making, including supporting Advanced Product Quality Planning (APQP) and reporting on supplier quality processes such as CRV, PPAP, and Run at Rate.

  • Lead integration of Supplier Process Change Request (SPCR) into Supplier Quality's value stream and act as a Subject Matter Expert on supplier quality business systems in cross-functional projects.


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 306 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description

DUTIES: Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to support General Motors' Global Supplier Quality and Development organization by creating reports and dashboards. Support leadership in data driven decision making by developing reports and tools to aid in Advanced Product Quality Planning (APQP). Support Supplier Quality Launch Engineers by reporting on Component Readiness Valves (CRV), Production Part Approval (PPAP) and Run at Rate processes throughout the Global Vehicle, Powertrain, and Software Development Process (GxDP). Lead integration of the Supplier Process Change Request (SPCR) into Supplier Quality's value stream, ensuring the right data is available to all stakeholders to quickly act on change requests. Assist Supplier Quality Engineers to analyze Quality Performance Rating (QPR) metrics of suppliers to highlight trends and failure modes using customized Key Performance Indicators (KPIs). Gather functional and technical requirements from Supplier Quality Engineers and Leadership to create reports with data drill-down capabilities that can address users of different organizational hierarchy levels. Design, develop, validate, and create reports in Microsoft Power BI by utilizing Data Analysis Expressions (DAX) and Power Query M formula language to gather and clean data. Create meaningful dashboards utilizing visualizations such as histograms, bar and pie charts and line plots to highlight data analysis results and support critical decision making by leadership. Perform regular maintenance and updates to reports deployed to Microsoft Power BI Service. Schedule reports refresh to ensure accurate and reliable data is readily available. Perform cross-functional activities such as creating Change Requests to have reports deployed to Production servers from Pre-Production servers. Utilize Pivot Tables, Data Models and formulas in Microsoft Excel to create reports. Create Macros using Visual Basic for Applications (VBA) to automate data entry tasks and report creation. Utilize Oracle SQL Developer and write Structured Query Language (SQL) queries to explore and identify data tables containing relevant data and fields required to achieve the goal and successfully complete the task. Perform data wrangling to extract relevant data fields required to create reports. Perform role of Subject Matter Expert (SME) on Supplier Quality business systems such as Supplier Practical Problem Solving (SPPS), Supplier Quality Management System (SQMS) and Supplier Certification Management System (SCMS) in cross-functional and cross-departmental projects. Identify errors in data systems and advise on changes and updates to be made. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.

REQUIREMENTS: Bachelor's degree in Data Science, Computer Science, Electrical Engineering, Electronics Engineering, or related field of study and Two (2) years of experience as a Data Analyst or related role. Two (2) years of experience with: Microsoft Excel. One year of experience with: Microsoft Power-BI; SQL and Oracle; Microsoft VBA macros; and Microsoft SharePoint.

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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 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 to feel they belong to one General Motors team.

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.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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.

Accommodations

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 or call us at 1-800-865-7580. 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.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908