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Data Analyst Computer Science Jobs in New Hope, MN

Tactile Medical

Data Analyst

New Brighton, MN

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics * 1+ years of relevant experience in data analytics ...

Judge Group, Inc.

Data Management Analyst

Minneapolis, MN · On-site

$53 - $57/hr

Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field, or equivalent practical experience. * Experience in business analysis and data analysis roles ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics * 1+ years of relevant experience in data analytics ...

Lorven Technologies

Data Analyst

Minneapolis, MN · On-site

Technical Skills • Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field. • Minimum of 6 years of experience in data analysis or ...

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Bachelor's degree in Data Analytics, Statistics, Information Systems, Computer Science, Business Analytics, or related field, required * Scrum, Kanban, or other Agile certification, preferred ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field * Five or more years of professional experience in data engineering, analytics and reporting, or ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field * Five or more years of professional experience in data engineering, analytics and reporting, or ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field * Five or more years of professional experience in data engineering, analytics and reporting, or ...

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$35.3K

$85.9K

$141.3K

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

As of Aug 31, 2026, the average yearly pay for data analyst computer science in New Hope, MN is $85,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $100,800.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a data analyst in computer science?

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.

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 problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near New Hope, MN are hiring for Data Analyst Computer Science jobs?

Cities near New Hope, MN with the most Data Analyst Computer Science job openings:

Data Analyst Computer Science jobs near you

Healthcare Data Analyst (Claims, Pharmacy, SQL Data Visualization)

Samprasoft

Eden Prairie, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Healthcare Data Analyst

We are seeking a highly skilled and experienced Senior Healthcare Data Analyst to join our team. The ideal candidate will have 8-10 years of experience in the healthcare industry, with a strong background in data analysis and proficiency in SQL. This role requires a deep understanding of clients' claims, pharmacy, and member files, as well as the ability to create source-to-target mapping documents with appropriate transformations. The candidate should have exceptional knowledge of these files and be able to effectively communicate in the healthcare language.

Responsibilities:

  • Gain a comprehensive understanding of clients' claims, pharmacy, and member files.
  • Analyze and interpret these files at a granular level, identifying key data elements and their relationships.
  • Create source-to-target mapping documents, ensuring accurate and appropriate transformations.
  • Utilize SQL and data analysis techniques to extract, manipulate, and cleanse data for analysis purposes.
  • Conduct thorough data analysis to identify trends, patterns, and insights relevant to clients' needs.
  • Collaborate with cross-functional teams to develop and implement data-driven solutions.
  • Ensure data integrity and accuracy through meticulous data cleansing and validation processes.
  • Stay updated with industry regulations, payer-provider dynamics, and emerging healthcare trends.
  • Communicate effectively in the healthcare language, bridging the gap between technical and non-technical stakeholders.

Requirements:

  • Bachelor's degree in a relevant field (e.g., healthcare management, data analytics, computer science, or a related field).
  • 8-10 years of proven experience as a Senior Data Analyst in the healthcare industry.
  • Strong SQL skills with the ability to write complex queries and perform advanced data transformations.
  • Proficiency in data analysis techniques and tools.
  • Exceptional knowledge of clients' claims, pharmacy, and member files.
  • Demonstrated expertise in creating source-to-target mapping documents with appropriate transformations.
  • Excellent problem-solving and critical thinking skills.
  • Strong attention to detail and accuracy.
  • Effective communication skills to bridge the gap between technical and non-technical stakeholders, using healthcare language.
  • Ability to work independently and collaborate effectively in a team environment.

Preferred Qualifications:

  • Experience with healthcare data standards (e.g., HL7, CPT, ICD-10, etc.).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, etc.).
  • Proficient in statistical analysis and modeling techniques.
  • Understanding of healthcare compliance and privacy regulations (e.g., HIPAA).

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