ZipRecruiter

Log In

1

Data Analysis Manager Jobs in Minnesota (NOW HIRING)

Guru Schools

Sr. Data Analyst

Shakopee, MN · On-site

$91K - $116K/yr

Strong proficiency in Excel and Python for data analysis and automation. Experience working with ERP systems and quoting/order management platforms Proven ability to work with messy, inconsistent ...

Pwc

Data Strategy-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Collabera

Business Data Analyst

Eagan, MN

... management, productivity measures, talent acquisition and other areas that impact our overall strategic workforce planning efforts. Identify, analyze, and interpret trends or patterns in complex data ...

Pwc

Data Governance- Manager

Minneapolis, MN

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

next page

Showing results 1-20

All JobsData Analysis Manager JobsData Analysis Manager Jobs in Minnesota

Data Analysis Manager information

See Minnesota salary details

$22K

$86.8K

$141K

How much do data analysis manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data analysis manager in Minnesota is $86,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $106,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Manager, and why are they important?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

What does a data analyst manager do?

A data analysis manager oversees data teams to collect, analyze, and interpret data to support business decisions. They develop strategies, ensure data quality, and communicate insights to stakeholders, often using tools like SQL, Excel, and data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

How does a Data Analysis Manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but Data Analysis Managers and analysts remain essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI enhances productivity and supports decision-making, but human expertise is still critical for nuanced analysis and business insights.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

Is 40 too late for data science?

For a Data Analysis Manager, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, regardless of age. Many professionals transition into data roles later in their careers and find opportunities based on their expertise and adaptability.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around $50,000 annually, while experienced analysts or those with specialized skills like SQL or Python can earn over $80,000 or more per year.
What are the most commonly searched types of Data Analysis jobs in Minnesota? The most popular types of Data Analysis jobs in Minnesota are:
What are popular job titles related to Data Analysis Manager jobs in Minnesota? For Data Analysis Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Analysis Manager jobs in Minnesota look for? The top searched job categories for Data Analysis Manager jobs in Minnesota are:
Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Minnesota as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $86,839 per year, or $41.7 per hour.

Sr. Data Analyst

Guru Schools

Shakopee, MN • On-site

$91K - $116K/yr

Contractor

Posted 11 days ago

Job description

Overview:
Title: Sr. Data Analyst
Location: Shakopee, MN - Hybrid - Must be LOCAL
Duration: 9+ month contract
Interview: Video (but must be open for an ONSITE interview if requested)
Duration: 12+ months
LinkedIn Required.
Must have skills: Python, SQL, Excel, they want someone experienced working with ERP systems and quilting or order management platforms. Having AI experience is huge bonus.
Required Experience:
10-15+ years of experience in data analytics, business analysis, or related roles.
Advanced SQL expertise (required).
Strong proficiency in Excel and Python for data analysis and automation.
Experience working with ERP systems and quoting/order management platforms
Proven ability to work with messy, inconsistent datasets and derive actionable insights.
Experience identifying and quantifying financial or operational leakage.
Preferred (Nice to Have):
Exposure to AI-driven analytics or automation.
Experience in manufacturing, custom production, or highly variable environments.
Background improving data governance, reporting structures, or BI frameworks.
Strong collaboration skills and willingness to ask questions and challenge assumptions.
Understanding of Order-to-Cash (OTC) processes and downstream impacts.
Skills:
Python,SQL

Apply