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Manager Data Analytics Engineer Jobs in Detroit, MI

Data Engineer - Resource Demand

Warren, MI · On-site +1

$107K - $129K/yr

The Role The Resource Demand team is building trusted data pipelines, analytical datasets, and ... Experience modernizing resource planning or portfolio management processes by replacing spreadsheet ...

Data Engineer - Resource Demand

Warren, MI · On-site

$107K - $129K/yr

The Role The Resource Demand team is building trusted data pipelines, analytical datasets, and ... Experience modernizing resource planning or portfolio management processes by replacing spreadsheet ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

The engineer combines technical powertrain knowledge with project management, data analysis, and value engineering expertise to drive cost optimization initiatives from concept through implementation.

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Develop and manage data architectures, including data lakes, data warehouses, and vector databases ... and analytics. * Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

Showing results 41-60

Manager Data Analytics Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

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

As of Aug 11, 2026, the average yearly pay for manager data analytics engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 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 the most commonly searched types of Data Analytics Engineer jobs in Detroit, MI? The most popular types of Data Analytics Engineer jobs in Detroit, MI are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Detroit, MI? For Manager Data Analytics Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Detroit, MI look for? The top searched job categories for Manager Data Analytics Engineer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Manager Data Analytics Engineer jobs? Cities near Detroit, MI with the most Manager Data Analytics Engineer job openings:
Infographic showing various Manager Data Analytics Engineer job openings in Detroit, MI as of July 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

Data Analytics Systems Specialist - Material Logistics Management

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 12 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

The Data Analytics Specialist candidate blends technical expertise with strategic vision and can translate complex data into actionable intelligence for senior leaders.
  • Lead data mining and analytics efforts to identify trends, uncover opportunities, and answer critical business questions across all MLM KPIs.
  • Design and implement robust data architecture, governance, and quality frameworks to ensure accuracy, consistency, and reliability of financial and operational data.
  • Leverage AI and machine learning (ML) to build predictive data models, enabling proactive decision-making on financial performance, forecasting, and overall MLM strategies.
  • Collaborate closely with stakeholders across MLM, Production, Finance, Audit and IT to understand data needs and translate them into scalable analytical solutions.
  • Partner with Data Engineering teams to optimize data pipelines, integrations, and infrastructure for Visualizations and advanced analytics.
  • Build and maintain interactive dashboards and self-service analytics tools that support leadership in strategic planning and performance monitoring.

Basic Qualifications:
  • Bachelor's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Minimum 2 years of experience in data mining, modeling and visualization (Excel, PowerBI, Power App, Power Automate, Access, Snowflake)
  • Excellent oral and written communication skills including working knowledge of Microsoft Office and/or Google Suite
  • Ability to work any shift and overtime as required

Preferred Qualifications:
  • Master's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Experience implementing AI/ML models for predictive forecasting, anomaly detection or automated insights generation
  • Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks
  • Knowledge of cloud-based data platforms (Snowflake, Azure, AWS, GCP)
  • Demonstrated success in building trend analysis tools and ensure ROI justification
  • Experience Working in a Unionized Environment
  • Stellantis Industrial Systems Logistics Pillar knowledge

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