2

Entry Level Data Analyst 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 ...

Business Data Analyst I Location: Fergus Falls, MN Salary grade 9 Position Summary Otter Tail Power ... This entry-level role is ideal for someone who is passionate about working with data, learning new ...

Python Developer (Entry Level)

Saint Paul, MN · On-site

$50.75 - $69.75/hr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Assess project requirements and develop data analysis algorithms. * Engage developers to share ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

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 ...

... } Entry-Level Staff Accountant Location: Minneapolis, MN Compensation: $58,000-$65,000 Why This ... Help maintain accurate cost and inventory data and support variance analysis * Prepare ...

Entry Level Accountant

Eden Prairie, MN · On-site

$50K - $70K/yr

This Accountant will assist with financial reporting, data entry, account reconciliation, and other ... Strong analytical and problem-solving abilities * Ability to manage multiple tasks and meet ...

next page

Showing results 1-20

Entry Level Data Analyst information

See Minnesota salary details

$12

$32

$60

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

As of Jun 27, 2026, the average hourly pay for entry level data analyst 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.

Is 40 too late for data science?

Entry level data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are more important than age. Many professionals start new careers later in life by gaining relevant certifications and building a portfolio of projects.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Is it hard to get hired as a data analyst?

Entry level data analyst positions can be competitive, but having relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI can improve your chances. Employers often look for a bachelor's degree in a related field and some experience with data analysis projects or certifications. Persistence and continuous skill development are important for securing an entry-level role.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing context. Entry level data analysts need to develop skills in data visualization, programming, and understanding AI capabilities to stay relevant in the evolving job market.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Minnesota? The most popular types of Data Analyst jobs in Minnesota are:
What are popular job titles related to Entry Level Data Analyst jobs in Minnesota? For Entry Level Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Minnesota look for? The top searched job categories for Entry Level Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Data Analyst jobs? Cities in Minnesota with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Minnesota as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,077 per year, or $32.2 per hour.

Entry Level Business Analyst/Data Analyst

National Software Management

Minneapolis, MN • On-site, Remote

Full-time

Posted 27 days ago


Job description

Company Description

National Software Managment an software Development company of USA is focused on developing a comprehensive workplace that utilizes the unique expertise and viewpoints of our worldwide staff. We appreciate the exclusive qualifications, expertise and ability of each worker and accept variations which include gender, kind, faith, incapability, nationality, age group, physical inclination, ethnic background and exclusive style. Being a multinational firm, we know, treasure and regard the distinctiveness of our staff and promote a collaborative work setting with equal potential for all staff members.

Job Description

Job Title: Entry-Level Business Analyst / Data Analyst

Location: United States (Remote / Hybrid options available)
Employment Type: Full-Time

About the Role

We are looking for motivated, detail-oriented individuals who are eager to launch or relaunch their careers in Business Analysis and Data Analysis. This opportunity is ideal for recent graduates, professionals returning to the workforce after a career break, or individuals looking to transition into analytics-driven roles.

You'll work closely with cross-functional teams to gather insights, analyze data, and support business decisions. No extensive prior experience is required-just a strong willingness to learn, adapt, and grow.

Work Authorization:
Applicants must be authorized to work in the U.S. We welcome candidates with:

Responsibilities

  • Gather, document, and analyze business requirements
  • Interpret data and generate actionable insights
  • Create reports, dashboards, and visualizations
  • Collaborate with stakeholders to improve processes
  • Assist in data validation, quality checks, and reporting
  • Translate business needs into functional specifications
Qualifications
  • Bachelor's degree (or equivalent experience)
  • Strong analytical and problem-solving skills
  • Basic knowledge of Excel, SQL, or data tools (training provided if needed)
  • Good communication and documentation skills
  • Eagerness to learn new tools and technologies
  • Candidates with career gaps looking to restart their careers
  • Professionals seeking hands-on experience in analytics
Additional Information

All your information will be kept confidential according to EEO guidelines.