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Manager Data Analytics Engineer Jobs in Rochester Hills, MI

eShipping, LLC

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 • ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

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 ...

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

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 ...

Denso

Director- Data Analytics and AI

Southfield, MI

$181K - $226K/yr

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 ...

Sun RV Resorts

Senior Data Engineer

Southfield, MI · Remote

$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 ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... Aptitude or interest in Automotive Engineering. ArcelorMittal Tailored Blanks is an Equal ...

Sun Communities, Inc.

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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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Rochester Hills, MI

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 Jul 23, 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:
Manager Data Analytics Engineer jobs near you
Project Manager - Data Analytics

Project Manager - Data Analytics

Apetan Consulting llc

Royal Oak, MI • On-site

$50 - $55/hr

Contractor

Posted 3 days ago

Job description

 Role: Project Manager – Data Analytics

Location: Royal Oak MI Hybrid

 

Job Summary

We are seeking an experienced Project Manager – Data Analytics to lead enterprise-scale analytics initiatives. The ideal candidate will have a strong understanding of Data Analytics, Data Lakes, Data Pipelines, ETL processes, and modern cloud-based analytics platforms, along with proven experience managing cross-functional technical teams and delivering data-driven projects.

Required Skills

  • 8+ years of IT experience with 3+ years as a Project Manager.
  • Strong experience managing Data Analytics and Data Engineering projects.
  • Hands-on understanding of:
    • Data Lakes (Azure Data Lake, AWS S3, Databricks, Snowflake, etc.)
    • Data Pipelines
    • ETL/ELT processes
    • Data Warehousing
    • Data Integration
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with SQL and analytics/reporting tools like Power BI, Tableau, or Looker.
  • Experience working with Agile/Scrum methodologies.
  • Strong stakeholder management and communication skills.

Preferred Skills

  • Experience with Databricks, Snowflake, Azure Data Factory, Apache Spark, Kafka, Airflow, or similar technologies.
  • Knowledge of data governance, data quality, and metadata management.
  • PMP, Scrum Master, or Agile certification.

Responsibilities

Lead end-to-end delivery of Data Analytics and Data Engineering projects.

Coordinate with business stakeholders, architects, data engineers, and analytics teams.

Manage project scope, timelines, budgets, risks, and dependencies.

Oversee implementation of data lakes, data pipelines, and analytics solutions.

Ensure project delivery aligns with business objectives and quality standards.

Drive Agile ceremonies and provide regular status updates to leadership.

                Identify and mitigate project risks while ensuring timely delivery