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Entry Level Data Analysis Jobs in Minnesota (NOW HIRING)

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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Create and maintain data analysis scripts to handle large data sets from multiple sources that enable OPC model calibrations and correction recipe development. Required Qualifications: * Bachelor of ...

New

Technical analysis: performing calculations, conducting data analysis, and compiling technical reports. About the opportunity * Hybrid: a hybrid work arrangement may be considered for this position.

OPC / DFM Engineer

Bloomington, MN · On-site

$69K - $103K/yr

Create and maintain data analysis scripts to handle large data sets from multiple sources that enable OPC model calibrations and correction recipe development. Required Qualifications: * Bachelor of ...

New

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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Entry Level Data Analysis information

See Minnesota salary details

$12

$32

$60

How much do entry level data analysis jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level data analysis in Minnesota is $32.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $36.01 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Minnesota? The most popular types of Data Analysis jobs in Minnesota are:
What job categories do people searching Entry Level Data Analysis jobs in Minnesota look for? The top searched job categories for Entry Level Data Analysis jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Data Analysis jobs? Cities in Minnesota with the most Entry Level Data Analysis job openings:
Infographic showing various Entry Level Data Analysis job openings in Minnesota as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $67,077 per year, or $32.2 per hour.
Entry Level Data Scientist

Full-time

Posted 13 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