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Manager Data Analytics Engineer Jobs in Maple Grove, MN

Associate Data Analyst

Minneapolis, MN · On-site

$56K - $77K/yr

... Engineering's Data Team, supporting the organization's business intelligence, analytics, and enterprise data management initiatives. This role develops analytical solutions that improve decision ...

The role provides leadership and direction to cross-functional teams, guiding developers, engineers ... Product ownership, roadmap management, prioritization, and delivery of data and analytics products.

The role provides leadership and direction to cross-functional teams, guiding developers, engineers ... Product ownership, roadmap management, prioritization, and delivery of data and analytics products.

Define and manage processes for creation and maintenance of master data * Lead digital transformation initiatives including AI, analytics, and data platforms * Identify opportunities for AI-driven ...

Define and manage processes for creation and maintenance of master data * Lead digital transformation initiatives including AI, analytics, and data platforms * Identify opportunities for AI-driven ...

New

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 ...

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Working in a highly cross-functional model, you will partner with engineering, architecture, and ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Working in a highly cross-functional model, you will partner with engineering, architecture, and ...

Showing results 41-60

Manager Data Analytics Engineer information

See Maple Grove, MN salary details

$45.6K

$132.8K

$181.8K

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

As of Aug 8, 2026, the average yearly pay for manager data analytics engineer in Maple Grove, MN is $132,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $140,800.00 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 job categories do people searching Manager Data Analytics Engineer jobs in Maple Grove, MN look for? The top searched job categories for Manager Data Analytics Engineer jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Manager Data Analytics Engineer jobs? Cities near Maple Grove, MN with the most Manager Data Analytics Engineer job openings:

$56K - $77K/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Banner Engineering rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

98th of 487 rated machine equipment manufacturers


Job description

Why Work at Banner?

For over 50 years, Banner Engineering has been at the forefront of industrial automation. We offer products and solutions including award-winning sensors, wireless solutions, machine safety, indication and LED lighting. With engineers employed in nearly every major department, engineering is in our DNA.

Banner is a rapidly growing company that offers many personal development opportunities, an excellent benefits package, and a collaborative team of employees who are passionate about what they do.

Position Summary

The Associate Data Analyst is a member of Banner Engineering's Data Team, supporting the organization's business intelligence, analytics, and enterprise data management initiatives. This role develops analytical solutions that improve decision-making, strengthen data quality, and help ensure business data is accurate, accessible, and trusted across the organization.

What You’ll Be Doing

This is an excellent opportunity for someone who enjoys solving complex business problems, working collaboratively across teams, and using data to drive better business decisions. The Associate Data Analyst will work on a variety of business intelligence, analytics, and enterprise data management initiatives while partnering with stakeholders throughout the organization to develop meaningful, data-driven solutions.

Key Responsibilities

Business Intelligence & Analytics

  • Design, develop, and maintain business intelligence applications and dashboards using Qlik to support data-driven decision-making across the organization.
  • Partner with business stakeholders to understand business processes, gather requirements, and translate business needs into analytical solutions.
  • Develop and maintain data models, visualizations, and reporting solutions that improve the accessibility and usability of enterprise data.

Enterprise Data Management

  • Develop and enhance automated data quality processes that improve the accuracy, consistency, and reliability of enterprise data.
  • Investigate data issues, perform root cause analysis, and collaborate with business stakeholders and IT to implement long-term solutions.
  • Support data governance initiatives through documentation, business glossaries, data definitions, and enterprise data standards.

Enterprise Data Support

  • Support Banner's ePlan data portal, including user support, issue resolution, and ongoing enhancements.
  • Develop SQL queries to support ad hoc reporting, data validation, troubleshooting, and business requests.

Continuous Improvement

  • Identify opportunities to improve reporting, analytics, business processes, and data management practices across the organization.
  • Contribute to a collaborative Data Team environment by sharing knowledge, documenting processes, and supporting team initiatives.

Pay and Benefits

Banner Engineering is committed to offering competitive pay and benefits, including, but not limited to:

  • 401(k) with match
  • Student Loan 401(k) match program
  • Medical, Dental, and Vision Insurance Plans
  • HSA (Health Savings Account) with company contribution
  • Paid Time Off (PTO)
  • Sales and Profit Sharing Eligibility
  • Flexible work hours
  • Life Insurance
  • Paid Parental Leave
  • Pet Insurance
  • Tuition Reimbursement

Base Pay Range: $56,419 - $77,575

The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

What You Bring to the Table

To perform this job successfully, you must be able to perform each essential duty satisfactorily, and regular attendance is required. The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job.

Required

  • Bachelor’s degree in Computer Science, Management Information Systems (MIS), Business Analytics, Data Analytics, or a related field, or an equivalent combination of education and relevant experience.
  • 1–3 years of experience in business intelligence, data analytics, data quality, data management, or a related field, including relevant internship or co-op experience.
  • Strong analytical and problem-solving skills with the ability to investigate issues, identify root causes, and develop effective solutions.
  • Basic experience writing SQL queries and working with relational databases.
  • Demonstrated ability and desire to learn new technologies, understand business processes, explore data, and continuously learn new technologies and analytical techniques
  • Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.

Preferred

  • Experience developing business intelligence applications or dashboards using Qlik.
  • Experience with enterprise data quality or data management concepts.
  • Experience working with ERP systems or enterprise business data.
  • Familiarity with data governance concepts, business glossaries, or metadata management.
  • Strong organizational skills with the ability to manage multiple priorities in a collaborative environment.
  • High attention to detail and a commitment to producing accurate, reliable work.

Supervisory Responsibilities

  • This position has no direct supervisory responsibilities.

What to Expect at Work

Physical Demands

The physical demands described here must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to support individuals with disabilities.

  • Sit for up to 8 hours per day.
  • Continuous movement, walking, or standing.
  • Exposed to a computer screen for extended periods
  • May require repetitive motions such as utilize a computer mouse, keyboard, computer, and other standard office equipment.
  • Communicate with others frequently.

Working Environment

The work environment characteristics described here are representative of those you may encounter while performing the essential functions of this job.

  • Corporate office environment – indoor and climate-controlled

Core Values

Customer Driven, Accountability Focused, Integrity Always, New Solutions – Every Day

If you excel in a dynamic, collaborative environment and are looking for meaningful challenges and opportunities to grow, you’ll find a great fit here. Banner Engineering is a premier employer headquartered in MN, offering competitive compensation, comprehensive benefits, and opportunities for professional development as we rapidly grow in the Industrial Automation industry.

Banner Engineering is an equal opportunity employer that considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

Affirmative Action (AA)/Equal Opportunity Employer (EOE) M/F/D/V

This job description reflects management’s assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned.


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