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Data Analyst Computer Science Jobs in Melrose, MN

College degree in field related to data analysis or computer science or equivalent related experience. * 1 - 3 years of related experience in an analytic position desired (not required). Required ...

Process Analyst

Sartell, MN ยท On-site

$45K - $65K/yr

College degree in field related to data analysis or computer science or equivalent related experience. * 1 - 3 years of related experience in an analytic position desired (not required). Required ...

Process Analyst

Sartell, MN ยท On-site

$45K - $65K/yr

College degree in field related to data analysis or computer science or equivalent related experience. * 1 - 3 years of related experience in an analytic position desired (not required). Required ...

We're allergic to bureaucracy, thrive on innovation, and embrace data-driven decisions. If you love ... Collaborate with a multi-disciplinary team of engineers and scientists to find practical solutions ...

You will also assist in the data management of pathology computer files and participate in an on ... Bachelor's Degree of Science or Arts in Cytotechnologist or a related Bachelor's degree with ...

Strong financial, analytical, forecasting, and data-driven decision-making skills. * Excellent ... Bachelor's degree in Business, Agriculture, Food Science, or related field preferred. * 10+ years ...

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Data Analyst Computer Science information

See Melrose, MN salary details

$34.4K

$83.6K

$137.6K

How much do data analyst computer science jobs pay per year?

As of May 29, 2026, the average yearly pay for data analyst computer science in Melrose, MN is $83,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,200.00 per year, depending on experience, location, and employer.

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.

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.

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.
What cities near Melrose, MN are hiring for Data Analyst Computer Science jobs? Cities near Melrose, MN with the most Data Analyst Computer Science job openings:

Full-time

Posted 12 days ago


Job description

The Process Analyst manages scheduled operational processes and workflows. They complete and analyze operational reports to assess strategy effectiveness and develop new reporting. They will be called on to assist or lead projects to enhance internal systems for strategic goals. Using tools like SAS, Excel, and SQL Server, the Process Analyst performs in-depth portfolio analyses, loads portfolios into the database, and ensures data integrity. By leading innovative projects, they develop new processes to drive business objectives and improve operational efficiency.

JOB SUMMARY

  • Verify, extract, transform, append, and standardize data from a variety of data types and sources to meet system and business requirements.
  • Create and monitor reports to determine data quality and completeness, identify critical issues, trends, opportunities.
  • Pinpoint and analyze relevant data to support business initiatives (e.g. profitability, performance and variance analysis).
  • Develop and optimize queries to support various production processes, analytical tasks, and reporting requirements.
  • Identify and address application and process discrepancies, conducting root cause analyses and proposing effective solutions.
  • Design, develop, and maintain process improvements to automate current and future processes.
  • Facilitate the creation of Internal and External reporting.
  • Offer actionable insights for operational enhancements.

REQUIREMENTS

Education & Experience:

  • College degree in field related to data analysis or computer science or equivalent related experience.
  • 1 - 3 years of related experience in an analytic position desired (not required).

Required Skills & Abilities:

  • High level of skill in Excel; experience with SAS or SQL highly desired
  • Technical expertise in databases, querying techniques, and handling large datasets.
  • Understanding of fundamental accounting principles and business concepts.
  • Quick learner with the ability to grasp new business concepts, technical skills, and programming languages.
  • Strong analytical, problem-solving, and critical thinking abilities.
  • Effective communication skills, both written and verbal, with the capability to influence various stakeholders.
  • Able to work independently or collaboratively in a team setting.
  • Capacity to maintain productivity in a fast-paced, multitasking environment.