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Data Analytics Manager Jobs in Minnesota (NOW HIRING)

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

As a Data Analyst , you'll be part of a collaborative, forward-thinking team that partners closely ... Manage a diverse portfolio of analytics requests, balancing priorities and timelines * Present ...

Amp Up Your Career We are seeking a Marketing Analytics Manager who is ready to join an ... Translate complex data into clear insights and recommendations that inform marketing and business ...

We're looking for a new Manager of Insights & Analytics to work in our new corporate headquarters ... Drive facilitation and delivery of Circana data with senior leaders while providing context and ...

Analyze sales data to identify trends, patterns, and opportunities for improvement. * Develop and ... Manage and mentor a team of sales analysts, fostering a culture of continuous improvement and agile ...

Analyze sales data to identify trends, patterns, and opportunities for improvement. * Develop and ... Manage and mentor a team of sales analysts, fostering a culture of continuous improvement and agile ...

We're looking for a new Manager of Insights & Analytics to work in our new corporate headquarters ... Drive facilitation and delivery of Circana data with senior leaders while providing context and ...

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Showing results 1-20

Data Analytics Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data analytics manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analytics manager in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Minnesota? The most popular types of Data Analytics jobs in Minnesota are:
What are popular job titles related to Data Analytics Manager jobs in Minnesota? For Data Analytics Manager jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Data Analytics Manager jobs? Cities in Minnesota with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager 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, with an average salary of $95,145 per year, or $45.7 per hour.
Senior Data Analytics Manager - Payments

Senior Data Analytics Manager - Payments

US Bank

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 358 frontline employees who took The Breakroom Quiz

44th of 149 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

The Senior Data Analytics Manager will lead advanced analytics and strategic insights that drive business decisions across the Payments portfolio . This role is responsible for translating complex, multi-source data into actionable insights, identifying opportunities and risks that will influence product strategy, customer experience and portfolio growth and profitability. The ideal candidate combines strong analytical capabilities with business acumen, executive communication skills, and the ability to solve ambiguous business problems independently.

Responsibilities

  • Lead strategic and ad hoc analyses to answer complex business questions and support decision-making.

  • Partner with product, marketing, finance, and groups outside of Payments to identify opportunities for growth, engagement, and risk mitigation.

  • Identify and quantify opportunities to expand and deepen partner relationships and customer engagement

  • Design and execute end-to-end analytical solutions, from data extraction through presentation of findings.

  • Develop hypotheses, investigate business trends, and uncover key drivers behind portfolio performance and profitability.

  • Translate analytical findings into clear business recommendations and executive-level presentations.

  • Validate and reconcile data across multiple systems to ensure accuracy and consistency of insights.

  • Evaluate the impact of business strategies, product changes, and customer initiatives through data-driven analysis.

  • Build and maintain strong relationships with stakeholders while serving as a trusted analytics advisor.

  • Identify proactive analytical opportunities that help drive portfolio growth and improve customer outcomes.

Basic Qualifications
- Bachelor's degree in a related field, or equivalent work experience
- Eight or more years of statistical and/or data analytics experience

Preferred Skills and Experience

  • Strong proficiency in SQL, Python, R, SAS, or similar analytics tools

  • Experience working with large, complex datasets.

  • Demonstrated ability to solve ambiguous business problems with limited direction.

  • Strong business acumen and ability to connect analytics to business outcomes.

  • Experience developing executive presentations and communicating findings to senior leaders.

  • Proven ability to influence decisions through data-driven recommendations.

  • Background in financial services, banking, credit cards, payments, or consumer lending preferred.

  • Experience with predictive modeling, statistical analysis, or regression techniques is a plus.

  • Strong written, verbal, and presentation skills.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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