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Manager Data Analytics Engineer Jobs in Carleton, MI

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 ...

Senior Analytics Engineer

Detroit, MI · On-site

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader ... Understanding of data governance, metadata management, and data privacy/compliance standards.

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Translate business and analytical requirements into scalable, secure, and feasible data ... Mentor and guide the lead data engineer. * Own the Data Strategy & Lifecycle Management, treating ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Translate business and analytical requirements into scalable, secure, and feasible data ... Mentor and guide the lead data engineer. * Own the Data Strategy & Lifecycle Management, treating ...

Translate business and analytical requirements into scalable, secure, and feasible data ... Mentor and guide the lead data engineer. * Own the Data Strategy & Lifecycle Management, treating ...

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Manager Data Analytics Engineer information

See Carleton, MI salary details

$40.4K

$117.7K

$161.1K

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 Carleton, MI is $117,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 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 cities near Carleton, MI are hiring for Manager Data Analytics Engineer jobs? Cities near Carleton, MI with the most Manager Data Analytics Engineer job openings:

Engineering Data Analytics Specialist (Power BI)

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Engineering Data Analytics Specialist (Power BI)
Overview
We are seeking an Engineering Data Analytics Specialist to support engineering teams by delivering data analysis, reporting, dashboard development, and project tracking. This role focuses on transforming engineering and cost-related data into actionable insights through business intelligence solutions and executive-level reporting. The ideal candidate will have strong Power BI expertise, advanced analytical skills, and experience working with large datasets in engineering or manufacturing environments.
Key Responsibilities
  • Analyze engineering and cost-related datasets to identify trends and business insights.
  • Perform data mining and trend analysis.
  • Develop, maintain, and enhance Power BI dashboards.
  • Create executive-level reports and visualizations.
  • Automate reporting processes to improve efficiency.
  • Track cost-saving initiatives and project milestones.
  • Support engineering review meetings and status reporting.
  • Improve reporting methodologies and data visibility.
  • Develop standardized metrics and KPI reporting systems.
  • Maintain data integrity and validate data accuracy.
  • Support cross-functional engineering, manufacturing, product development, and program teams.

Required Qualifications
  • Bachelor's degree in Engineering, Data Analytics, Information Systems, Computer Science, Industrial Engineering, or a related technical field.
  • 3+ years of experience in data analysis, reporting, or engineering analytics.
  • Experience supporting engineering, manufacturing, automotive, or product development organizations.
  • Experience managing large datasets.
  • Experience creating executive-level dashboards and reports.
  • Experience developing reporting metrics and analytics tools.
  • Experience supporting cross-functional teams and project activities.
  • Strong proficiency with Power BI.
  • Advanced Microsoft Excel skills.
  • Experience with:
    • Data analysis
    • Data mining
    • Dashboard development
    • KPI reporting
    • Trend analysis
    • Data modeling
    • Data cleansing
    • Data validation
    • Executive reporting
    • Data visualization
    • Reporting automation
    • Quantitative analysis
    • Data integrity management
    • Business insights development
    • Meeting coordination
    • Action item tracking
    • Workplan management
    • Milestone tracking
    • Project tracking
    • Cross-functional communication

Preferred Qualifications
  • Experience with SQL.
  • Experience with Power Query and DAX.
  • Experience with SharePoint and Power Automate.
  • Experience with AI-based reporting or analytics tools.
  • Experience supporting cost-reduction programs.
  • Automotive industry experience.
  • Experience supporting engineering programs.
  • Experience with advanced Power BI development.
  • Experience using workflow automation tools.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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