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Data Analyst Computer Science Jobs in Minnesota (NOW HIRING)

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and ... Bachelor's degree in Computer Science, Math, Statistics, Analytics, Finance, or related field ...

Data Analyst Senior

Minneapolis, MN · On-site +1

$89K - $113K/yr

Experience Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education Bachelor's degree is ...

... computer science, economics, data science, or related field • 4+ years of experience in data analytics or a related role • Advanced proficiency in SQL, Python and/or R, Tableau or similar BI ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Bachelor's degree in mathematics, computer science, economics, statistics, data science ...

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Bachelor's degree in mathematics, computer science, economics, statistics, data science ...

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Bachelor's degree in mathematics, computer science, economics, statistics, data science ...

Senior Data Analyst

Minnetonka, MN · On-site

$100K - $115K/yr

As the Sr Data Analyst , you will work closely with business units, subject matter experts and ... Bachelor's or advanced degree in computer science, information systems, or related fields; or ...

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Showing results 1-20

Data Analyst Computer Science information

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What job categories do people searching Data Analyst Computer Science jobs in Minnesota look for? The top searched job categories for Data Analyst Computer Science jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analyst Computer Science jobs? Cities in Minnesota with the most Data Analyst Computer Science job openings:
Data Analyst, Government

Data Analyst, Government

Thomson Reuters

Eagan, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

22nd of 441 rated business services


Job description

Data Analyst, Government
Are you ready to unlock the power of data to drive business growth and inform strategic decisions in the Government sales channel?
We're looking for a talented Data Analyst to join our team in the Government sales channel, specifically in the legal and risk field. As a Data Analyst, you'll play a critical role in collecting, cleaning, analyzing, and interpreting large datasets to identify patterns, trends, and insights that will inform business decisions and improve processes. As a key member of our team, you'll be responsible for driving business growth, improving customer retention, and granting valuable insights to various stakeholders who support the Government sales channel inside Thomson Reuters. You'll work in a dynamic environment, responding to the evolving Government market and internal processes, tools, and commercial strategies.
Join Our Team
If you're excited about the opportunity to work with data to drive business growth and inform strategic decisions, we'd love to hear from you. Please apply with your resume and a cover letter that highlights your experience and qualifications for the role.
About the Role
In this opportunity as a Data Analyst, you will:
  • Streamlining Data Insights: Streamlining data collection methods to create automated and easy-to-use dashboards and reports that provide insights across multiple business pillars, including sales and retention analysis, customer behavior metrics, and commercial analysis.
  • Informing Leadership Decisions: Compiling and analyzing data to produce reports that facilitate cross-functional understanding and collaboration between Legal, Risk, and other business pillars, ultimately informing leadership decisions that drive business outcomes and mitigate risk across the government business.
  • Maintaining Data Systems: Maintaining data systems by addressing errors, monitoring performance, and ensuring data quality and integrity, specifically around customer data.
  • Analyzing and Interpreting Data: Analyzing and interpreting collected data to identify trends and patterns, and presenting findings in a format that is easily understandable by stakeholders.
  • Improving Customer Insights: Improving and refining customer tagging and segmentation to enhance analysis, reporting, and business decision-making.
  • Driving Data-Driven Decision-Making: Collaborating with stakeholders to identify areas for improvement, drive data-driven decision-making, and design solutions to meet business objectives, with a focus on ongoing process optimization and refinement.
  • Leveraging Advanced Tools: Developing an in-depth understanding of business partner needs and leveraging experience with AI, automation, or advanced tools to improve workflows, business outcomes, and future state objectives.

About You
You're a fit for the role of Data Analyst if you have the following required qualifications:
  • Experience: 2+ years of experience as a Customer Data Analyst or equivalent experience in data or business analytics.
  • Education: Bachelor's degree in Computer Science, Math, Statistics, Analytics, Finance, or related field (preferred).
  • Background: Commercial or revenue-focused experience in B2B environments, revenue operations, or Go-To-Market operations (preferred).
  • Analytical Skills: Interprets data to identify customer behavior and preferences, and creates interactive and static visualizations to convey complex insights.
  • Technical Skills: Quickly learns and applies new technologies, and has experience with data analysis and visualization tools.
  • Project Management: Manages multiple projects simultaneously, ensuring timely delivery, and meets deadlines while maintaining quality under pressure.
  • Soft Skills: Possesses strong communication, problem-solving, and adaptability skills, with the ability to influence and persuade colleagues, customers, and stakeholders, and take ownership of projects independently.

Additional preferred qualifications include:
  • Proficiency in MS Office (Excel, Word, PowerPoint) and MS Teams.
  • Strong experience with data analysis tools, including Tableau, PowerBI, and Alteryx
  • Familiarity with the following technologies is beneficial: Python, SQL, SAP, and Business Objects

#LI-ES1
What's in it For You?
  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $74,200 USD - $137,800 USD.Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com

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