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Associate Degree In Data Analytics Jobs in Minnesota

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site

Education/Experience: * 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment. * Bachelor's degree in a related field ...

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site +1

Education/Experience: * 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment. * Bachelor's degree in a related field ...

Otter Tail Power

Business Data Analyst I

Fergus Falls, MN · On-site

$63K - $87K/yr

Bachelor's degree in Data Analytics, Business, Information Systems, or a related field--or equivalent combination of education and experience. * Strong interest in data analysis, technology, and ...

Ryan Companies

Data Analyst

Minneapolis, MN

$85K - $100K/yr

Bachelor's degree in data analytics, data science or a business-related field of study. * 3-5 years of Analyst or equivalent work experience. * Experience with data visualization tools, data querying ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Degree in Management Information Systems, Computer and Information Science, Systems Engineering ...

Pwc

Data Governance- Manager

Minneapolis, MN · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

Pwc

Data Strategy-Manager

Minneapolis, MN

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

Apothecary Products

IT Data Analyst II

Burnsville, MN · On-site

$65K - $98K/yr

Bachelor's degree in data analytics, information technology, business, or a related area Work Experience: * 1-4 years of experience in data analysis, preferably using Power BI and Tableau Desktop

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... In this role within our Technology Consulting practice, you will leverage advanced technologies and ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Minnesota

Associate Degree In Data Analytics information

See Minnesota salary details

$3.2K

$6.2K

$8.8K

How much do associate degree in data analytics jobs pay per month?

As of Jun 28, 2026, the average monthly pay for associate degree in data analytics in Minnesota is $6,161.08, according to ZipRecruiter salary data. Most workers in this role earn between $5,591.67 and $6,566.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

Is an associate's degree in data analytics worth it?

An associate's degree in data analytics provides foundational skills in data management, statistical analysis, and tools like Excel and SQL, which can help entry-level data analyst roles. It can be a cost-effective way to enter the field, but career advancement may require additional certifications or a bachelor's degree for higher-level positions.

What careers can you get with a data analytics degree?

An associate degree in data analytics can lead to roles such as data analyst, business analyst, or data technician. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and data visualization software. Entry-level positions often require strong analytical skills and familiarity with data management tools.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is a degree in data analytics worth it?

A degree in data analytics can be valuable for roles like data analyst or data scientist, as it provides foundational knowledge in statistics, programming, and data visualization tools. It can improve job prospects and earning potential, especially when combined with practical experience and certifications in tools like Excel, SQL, or Python.

What can you do with an associate's in data analytics?

An associate's degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. Graduates can work with tools like Excel, SQL, and data visualization software to interpret data, support decision-making, and improve business processes.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Minnesota? For Associate Degree In Data Analytics jobs in Minnesota, the most frequently searched job titles are:
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Associate Degree In Data Analytics jobs near you

Director of Data Intelligence

Vervint

Minneapolis, MN • On-site

Full-time

Posted 22 days ago

Job description

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred
Role Snapshot:
  • Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice.
  • Build the Practice: Stand up and scale offerings, capabilities, and team from the ground up.
  • Drive Growth: Deliver revenue expansion and measurable client impact.
  • Lead in the Market: Establish Vervint's presence and thought leadership in Data & AI.
  • Bring a Network: Leverage existing client relationships and/or a strong market presence to accelerate growth.

As the Director of Data Intelligence, you will lead the development and execution of Vervint's Data, Analytics & AI Practice. This is a builder role-responsible for defining service offerings, forming strategic partnerships, and driving both new business and client expansion.
Reporting to the President & Chief Consulting Officer, this leader is accountable for positioning Data & AI as a core growth engine for the firm. You'll bring a mix of strategic vision, hands-on leadership, and technical expertise to deliver meaningful outcomes for clients while building a differentiated, scalable practice.
What You'll Accomplish:
Strategy & Leadership
  • Define and own the firm's data, analytics, and AI vision, strategy, and roadmap.
  • Define and execute the vision, strategy, and roadmap for the Data and AI Practice, including service offerings, go-to-market strategies, and operational capabilities.
  • Represent Vervint at industry events, conferences, and webinars to showcase expertise in Data and AI.
  • Advise ELT on data-driven decision-making and AI opportunities that align with our business objectives.
  • Lead cross-functional alignment on data and AI initiatives across Sales, Practices, Finance, and Talent.

Client-Facing Innovation
  • Identify, engage, and acquire new customers by leveraging industry relationships, market insights, and sales strategies to drive revenue growth.
  • Serve as a strategic advisor and thought leader to clients on data and AI solutions.
  • Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies that address market demands and customer needs.
  • Establish and maintain relationships with key technology providers, vendors, and industry stakeholders to enhance the practice's capabilities.
  • Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to-market strategies.

Team Building & Capability Development
  • Build and lead a high-performing team of data scientists, analysts, and engineers.
  • Promote a culture of innovation, experimentation, and continuous learning in data and AI.
  • Drive upskilling and data literacy across the organization.

AI IP & Emerging Technologies
  • Lead development of reusable frameworks, models, and IP that can be leveraged across client engagements.
  • Evaluate and recommend emerging tools and technologies for AI, data engineering, and analytics.

Governance & Ethical AI
  • Ensure responsible, ethical, and compliant use of data and AI.
  • Develop internal policies and frameworks for fairness, transparency, and risk mitigation in partnership with the internal IS team.

What You'll Bring:
  • A balance of strategic thinking and hands-on leadership.
  • Experience in business development, sales, and revenue growth strategies.
  • Ability to craft compelling proposals and present Data and AI solutions to executive-level stakeholders.
  • Passion for innovation and measurable impact.
  • Ability to bridge business strategy and technical execution.
  • A collaborative, entrepreneurial mindset aligned with a fast-paced, high-growth environment.
  • Proven success developing, executing, and selling enterprise data and AI strategies.
  • Deep expertise in data architecture, advanced analytics, machine learning, and emerging AI technologies.
  • Track record of building high-performing technical teams and scaling capabilities.
  • Strong executive presence and ability to communicate complex concepts to both technical and non-technical stakeholders.

Education/Experience:
  • 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment.
  • Bachelor's degree in a related field required; Master's in Data Science, Computer Science, Engineering, or related field strongly preferred.

You Belong. At Vervint, we embrace all facets of identity that make you - you. From race, gender identity, and veteran status to disabilities and more, your lived experiences enrich everyone around you. We know when we create an environment of safety and respect for individuals and their identities, we all do our best work. That is why we celebrate our diversity, foster equity, and champion inclusion within our company, the work we do, and our communities. As we work together, we commit to continuous growth, learning from our mistakes, and expanding on our caring culture to bring our values to life.
Vervint is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans status, familial status, membership or activity in a local human rights commission, status regarding public assistance or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

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