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Entry Level Data Jobs in Minnesota (NOW HIRING)

DeFiner Inc

Employ structured approaches to leveraging large data sets to uncover new insights. * Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate ...

AdvancedPCB

Entry Level Machine Operator

Maple Grove, MN · On-site

$20 - $22/hr

Description Entry Level Production AdvancedPCB was founded in 1989 and is now ranked among the top ... This position requires access to controlled technical data and/or participation in activities ...

AdvancedPCB

Entry Level Machine Operator

Maple Grove, MN · On-site

$20 - $22/hr

Description Entry Level Production AdvancedPCB was founded in 1989 and is now ranked among the top ... This position requires access to controlled technical data and/or participation in activities ...

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All JobsData JobsEntry Level Data JobsEntry Level Data Jobs in Minnesota

Entry Level Data information

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$10

$19

$27

How much do entry level data jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for entry level data in Minnesota is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.44 per hour, depending on experience, location, and employer.

What is an entry level data job?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What are the key skills and qualifications needed to thrive as an entry level data analyst?

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.

What types of projects or tasks are typically assigned to entry level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

What is the difference between Entry Level Data vs Data Analyst?

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are the most commonly searched types of Data jobs in Minnesota?

The most popular types of Data jobs in Minnesota are:

What cities in Minnesota are hiring for Entry Level Data jobs?

Cities in Minnesota with the most Entry Level Data job openings:

Entry Level Data jobs near you
Infographic showing various Entry Level Data job openings in Minnesota 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,671 per year, or $19.1 per hour.

Entry Level Data Scientist

DeFiner Inc

Full-time

Re-posted 16 days ago

Job description

Job Description
  • Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth.
  • Create machine learning solutions for a diverse set of business problems.
  • Employ structured approaches to leveraging large data sets to uncover new insights.
  • Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions.
  • Present and defend results to leadership audiences, both technical and non-technical.
  • Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally.
Tech Stack
  • SQL
  • Python
  • Jupyter Notebook
  • (Optional) R script
Experience & Qualifications
  • Passion in modern technology and ability to work in a start-up environment.
  • Efficient on Jupyter Notebook
  • Good mathematic and algorithm background
  • Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues.
  • Highly organized individual with attention to detail and excellent ability to execute on deliverables.
Employment Type: FULL_TIME

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