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Data Analytics Jobs in St Cloud, MN (NOW HIRING)

Data Analyst

Sartell, MN ยท On-site

$50K - $60K/yr

... analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and ...

... analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and ...

... analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and ...

Principal Data Analyst (Hybrid)

Avon, MN ยท On-site

$121K - $176K/yr

This role serves as the analytics standard-setter and thought leader for the organization, with a ... The Principal Data Analyst leads an Analytics Community of Practice, enabling and elevating ...

Principal Data Analyst (Hybrid)

Avon, MN ยท Hybrid

$121K - $176K/yr

This role serves as the analytics standard-setter and thought leader for the organization, with a ... The Principal Data Analyst leads an Analytics Community of Practice, enabling and elevating ...

Senior Data Engineer (Hybrid)

Avon, MN ยท Hybrid

$100K - $145K/yr

A DAY IN THE LIFE As a Senior Data Engineer specializing in Data Warehouse and Analytics, you will play a critical role in designing, implementing, and optimizing database solutions to support ...

Senior Data Engineer (Hybrid)

Avon, MN ยท On-site

$100K - $145K/yr

A DAY IN THE LIFE As a Senior Data Engineer specializing in Data Warehouse and Analytics, you will play a critical role in designing, implementing, and optimizing database solutions to support ...

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 ...

Process Analyst

Sartell, MN ยท On-site

$45K - $65K/yr

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 ...

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 ...

Oncology Data Specialist

Saint Cloud, MN ยท On-site

$25.20 - $37.81/hr

This role is responsible for the collection, retrieval, and analysis of data on patients with cancer and certain benign tumors. Responsible for follow-up information and data entry maintaining ...

Oncology Data Specialist

Saint Augusta, MN ยท On-site

$25.20 - $37.81/hr

Administrative Support Job Schedule: Full time This role is responsible for the collection, retrieval, and analysis of data on patients with cancer and certain benign tumors. Responsible for ...

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Data Analytics information

See St Cloud, MN salary details

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How much do data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics in St. Cloud, MN is $54.23, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $61.44 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 cities near St. Cloud, MN are hiring for Data Analytics jobs?

Cities near St. Cloud, MN with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in St. Cloud, MN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,793 per year, or $54.2 per hour.

Data Analyst

Sartell, MN โ€ข On-site

Jefferson Capital Systems
Finance and Insuranceย โ€ขย 201 - 500 employees

$50K - $60K/yr

Full-time

Posted 19 days ago


Job description

JOB SUMMARY
The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved efficiency and decision making. Success in this role requires strong analytical thinking, attention to detail, problem-solving ability, and a passion for leveraging data to drive business outcomes.
ROLES & RESPONSIBILITIES
  • Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making.
  • Complete recurring data processing activities, including file creation, validation, quality control reviews, report generation, and distribution.
  • Develop, maintain, and enhance performance reporting used by internal stakeholders to monitor key business metrics and trends.
  • Analyze large datasets to identify patterns, trends, anomalies, and opportunities for operational improvement.
  • Support analytical projects by gathering requirements, preparing data, conducting analysis, and communicating findings.
  • Define, document, and improve business processes that enhance the value and usability of internal and external data.
  • Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, and business outcomes.
  • Validate process changes and business initiatives to measure effectiveness and quantify operational impact.
  • Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports and datasets.
  • Create and maintain process documentation, data definitions, validation procedures, and reporting methodologies.
REQUIREMENTS
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered.
  • Proficiency in Excel; experience with SAS, SQL, or relational databases is highly desired.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail, communication skills, and the ability to manage multiple priorities in a fast-paced environment.
  • Self-motivated and able to work independently while also contributing effectively within a team environment.