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Data Analyst Data Science Jobs in Mankato, MN (NOW HIRING)

Cambria

Research Scientist

Le Sueur, MN · On-site

$110K - $140K/yr

Strong computer and data analysis skills * Statistics * Established project management skills and is results-oriented Other Preferred Qualifications: * PhD Material Science, Polymer Chemistry or ...

Cambria

Research Scientist

Le Sueur, MN · On-site

$110K - $140K/yr

Strong computer and data analysis skills * Statistics * Established project management skills and is results-oriented Other Preferred Qualifications: * PhD Material Science, Polymer Chemistry or ...

emplify GmbH

System Analyst

Mankato, MN · On-site

$80 - $110/hr

Job Title Onsite System Analyst & Master Data Benefits * Bonus opportunities * Health insurance, AD&D coverage * 401(k) retirement savings plan with company match * Full vision insurance coverage

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Data Analyst Data Science information

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$33.7K

$81.9K

$134.8K

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

As of Aug 23, 2026, the average yearly pay for data analyst data science in Mankato, MN is $81,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Mankato, MN?

For Data Analyst Data Science jobs in Mankato, MN, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Mankato, MN look for?

The top searched job categories for Data Analyst Data Science jobs in Mankato, MN are:

What cities near Mankato, MN are hiring for Data Analyst Data Science jobs?

Cities near Mankato, MN with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Mankato, MN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,920 per year, or $39.4 per hour.

Enterprise Data Integration Analyst

Gustavus Adolphus College

Saint Peter, MN • On-site

$54K - $62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Gustavus Adolphus College rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

262nd of 621 rated colleges and universities

Job description

Description
JOB SUMMARY: The Enterprise Data Integration Analyst serves as a key member of the Administrative Information Systems team, supporting the College's enterprise applications (Ellucian Colleague, Entrinsik Informer, Slate, Rippling, etc.) and the secure, reliable exchange of data between them. This position is responsible for systems integration, automation, and data engineering activities that improve business processes, strengthen data integrity, and support institutional reporting and decision-making. Working collaboratively with campus stakeholders, this individual develops technology solutions that connect enterprise applications-including the College's ERP/SIS, CRM, HRIS, and other institutional systems-to improve operational effectiveness and data quality. The selected individual reports to the Director of Administrative Information Systems.
Employment Type: Full-Time (1.0 FTE), Exempt (Salaried), Benefits-Eligible
Salary Range: $54,000-$62,000 annually
How to apply: Continue here or visit https://gustavus.edu/jobs/ to complete the online application and submit a resume and cover letter. Applications will be reviewed on a rolling basis.
*Visa Sponsorship is not available for this position. Applicants looking to utilize CPT/OPT eligibility will not be considered.
MAIN RESPONSIBILITIES:
  • Perform systems integration and data engineering activities by designing, developing, and maintaining APIs, automated data pipelines, and data synchronization processes across enterprise systems.
  • Develop, implement, and support system enhancements, customizations, and automated workflows that improve business processes and operational efficiency.
  • Collaborate with campus stakeholders to analyze business processes and identify opportunities to improve technology solutions, data integration, and data integrity.
  • Monitor, troubleshoot, and resolve data quality, integration, and synchronization issues across enterprise applications.
  • Develop reports, dashboards, and data solutions using Entrinsik Informer and other reporting tools to support institutional decision-making.
  • Collaborate with functional offices and technical staff to improve enterprise data quality, security, documentation, and business processes.
  • Contribute to enterprise technology initiatives, including infrastructure modernization, system upgrades, and ERP/SIS enhancements.
  • Maintain technical documentation and remain current with emerging technologies and best practices.
  • Perform other duties as assigned.

Prerequisites
DESIRED ATTRIBUTES, SKILLS, AND EXPERTISE:
  • Experience with enterprise systems like Ellucian Colleague, Slate, Rippling, preferred.
  • Experience developing integrations using APIs, web services, or related technologies.
  • Demonstrated knowledge of SQL, databases, and data integration concepts.
  • Experience with programming/scripting languages, software development frameworks, or similar development tools.
  • Familiarity with reporting and business intelligence tools such as Entrinsik Informer or Power BI.
  • Understanding of data engineering, data quality, and data governance principles.
  • Strong analytical, problem-solving, and communication skills with the ability to work effectively with technical and non-technical stakeholders.
  • Demonstrated ability to work independently and manage multiple priorities.
  • Commitment to continuous learning and customer-focused service.

Gustavus offers competitive and comprehensive benefits which include:
  • Medical insurance (which includes access to Nice Healthcare) as well as dental, vision, and life insurance
  • Workplace accommodations for physical or mental health concerns
  • Onsite health services
  • Free parking, exercise classes, and use of library and athletic facilities
  • Paid parental leave
  • Employer contribution to retirement savings plan (after one year of employment)
  • Tuition scholarships for dependents
  • Tuition benefit plan for employees and spouse
  • 13 paid Holidays + generous PTO plan

Gustavus Adolphus College does not discriminate on the basis of race, color, national origin, ancestry, sex, disability, religion, age, sexual orientation, gender identity, or veteran status in its education or employment programs or activities.
Gustavus Adolphus College is one of the nation's leading private liberal arts colleges serving approximately 1,800 students. The College aspires to be a community of persons from diverse backgrounds who respect and affirm the dignity of all people. Known for its strong science, writing, music, athletics, study-away, and service-learning programs, Gustavus is located on a scenic 340-acre hill in St. Peter, Minnesota only one hour southwest of the Twin Cities.
Contact
Jerry Nowell | jerry@gustavus.edu | 507-933-7020
Posted: Thu Aug 6, 2026

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