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Manager Data Analytics Engineer Jobs in Minnesota

Apogee

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

This Data Platform Engineer will fill a critical role in enhancing and supporting the Data ... Configure and implement data management and analytic platform changes * Document data pipeline ...

Frch Nelson

Senior Analytics Engineer

Minneapolis, MN · On-site

The Senior Analytics Engineer is responsible for designing, building, and maintaining critical data ... Database & Infrastructure Management: * Maintain cloud data stores that support analytics ...

Quanex

Manager, Data Governance

Owatonna, MN · On-site

Quanex is looking for a Manager, Data Governance to join our team located in Akron, OH, Owatonna ... analysis, and remediation * Partner with Engineering and Manufacturing teams to align data ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... Self-service analytics and real-time operational decision making What This Role Does Not Do * Own ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Minnesota

Manager Data Analytics Engineer information

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 Minnesota?

The most popular types of Data Analytics Engineer jobs in Minnesota are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Minnesota?

For Manager Data Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Minnesota look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Manager Data Analytics Engineer jobs?

Cities in Minnesota with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Minnesota as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Sr. Adobe Analytics Engineer

Fisec Global

Minneapolis, MN • On-site

Contractor

Re-posted 2 days ago

Job description

Adobe Analytics Engineer

St Paul MN

Onsite 

 Responsibilities

• Manage tagging projects tasks and deliverables using Jira

• Gain thorough understanding of new and existing digital experiences and what success looks like

• Translate data and insights into business requirements and best-practice tagging strategies

• Maintain comprehensive tagging documentation and inform internal partners of upcoming changes as needed

• Validate that tags are working as expected

• Develop dashboards in Adobe Analytics and assist with any questions about the reports and data available

• Mentor team members and partners across the organization on Adobe Analytics’ capabilities

Qualifications
• bachelor’s degree in computer science, Information Technology, Business Management, or a related field

• 5+ years working with digital analytics tools such as Adobe Analytics or Google Analytics • Experience developing technical documentation for digital analytics implementations

• Expertise using debugger tools, validating tags and troubleshooting tagging issues

 • Experience working with tag management tools such as Tealium, Ensighten or Adobe  Launch

• JavaScript knowledge

• Experience with Jira, Confluence and MS Office Suite software (Excel and PowerPoint)

• General understanding of digital marketing technologies and strategies

• Experience with SQL and Business Intelligence tools is a plus

• Experience with Adobe Experience Platform solutions is a plus