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Data Analytics Jobs in Mankato, MN (NOW HIRING)

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

New

3M

Planning Analyst - New Ulm, MN*

New Ulm, MN · On-site

Strong data mining, data analysis, problem‐solving, and decision‐making skills. Advanced Microsoft Suite experience. Strong leadership, communication, interpersonal, and self‐motivational ...

3M

Planning Analyst - New Ulm, MN*

New Ulm, MN · On-site

Strong data mining, data analysis, problem‐solving, and decision‐making skills. Advanced Microsoft Suite experience. Strong leadership, communication, interpersonal, and self‐motivational ...

Careen Inc.

Sr. Operations Analyst

New Ulm, MN · On-site

$85K - $105K/yr

Turn Data Into Decisions. Drive the Future of Manufacturing. At Windings, Inc., we're not looking ... Bachelor's degree in Business Analytics, Engineering, Finance, or related field (or equivalent ...

Careen, Inc.

Sr. Operations Analyst

New Ulm, MN · On-site

$85K - $105K/yr

Turn Data Into Decisions. Drive the Future of Manufacturing. At Windings, Inc., we're not looking ... Bachelor's degree in Business Analytics, Engineering, Finance, or related field (or equivalent ...

Windings, Inc.

Sr. Operations Analyst

New Ulm, MN

$85K - $105K/yr

Description Turn Data Into Decisions. Drive the Future of Manufacturing. At Windings, Inc., we're ... Bachelor's degree in Business Analytics, Engineering, Finance, or related field (or equivalent ...

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Data Analytics information

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How much do data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics in Mankato, MN is $54.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Mankato, MN?

The most popular types of Data Analytics jobs in Mankato, MN are:

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Mankato, MN as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, and 5% Part Time. Highlights an 95% In-person, 1% Hybrid, and 4% Remote job distribution, with an average salary of $112,881 per year, or $54.3 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 15 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 620 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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