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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

Fergus Falls, MN · On-site

$63K - $87K/yr

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 ...

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 ...

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Entry Level Data Analyst information

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$12

$32

$60

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

As of Jun 28, 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.
Data & Business Analyst - Entry Level

Data & Business Analyst - Entry Level

Dahl Consulting

Fairmont, MN • On-site

$55K - $75K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Title: Data & Business Analyst - Entry Level
Location: Fairmount, MN
Job Type: Permanent/ Direct-Hire
Compensation: $55,000-75,000 Annually
Industry: Agribusiness & Food Distribution
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About the Role
Our firm is recruiting on behalf of a Midwest-based organization operating in the agriculture, manufacturing, and food production space. This established company uses data-driven insights to support operations across commodities, processing, and supply chain functions.
We are seeking an Entry-Level Data & Business Analyst who is eager to learn, detail-oriented, and motivated to transform raw data into meaningful business insights. This role offers hands-on exposure to enterprise systems, reporting tools, and cross-functional business processes, making it an excellent opportunity for entry level candidates or early-career professionals looking to grow within analytics and business intelligence.

Job Description
The Data & Business Analyst will support data analysis, reporting, and enterprise system users by ensuring data accuracy and delivering actionable insights to managers and operational teams. You will work closely with stakeholders across Operations, Finance, and EDI to understand data needs, enhance reporting, and improve decision-making through analytics.
Key Responsibilities
  • Data Collection & Cleaning: Gather data from multiple sources, including databases, APIs, spreadsheets, ERP systems, and enterprise data platforms. Validate and cleanse data to ensure accuracy and consistency.
  • Reporting & Visualization: Develop and maintain reports and dashboards using tools such as Power BI and Excel to communicate insights to managers and downstream users.
  • ERP / Enterprise Data Platform Support: Provide reporting and data support for ERP systems (such as Epicor or M3) and Power BI solutions layered over the Enterprise Data Platform, including writing and maintaining data queries.
  • Cross-Functional Collaboration: Partner with Operations, Finance, and EDI teams to understand current and emerging data requirements, delivering insights that support both existing and future business needs.
  • Documentation: Maintain clear and accurate documentation of data definitions, metric calculations, reporting logic, and analytical processes.

Qualifications
Required Qualifications:
  • Bachelor’s degree in Data Science, Accounting, Statistics, Mathematics, or a related analytical field.
  • 1–2 years of experience in a data, analytics, or reporting-related role (internships or relevant academic projects acceptable).
  • Experience with data visualization tools such as Power BI and/or advanced Microsoft Excel (pivot tables, formulas, charts).
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Ability to communicate technical findings clearly to non-technical stakeholders.
Preferred Qualifications:
  • Exposure to ERP systems (e.g., Epicor, M3, or similar).
  • Experience working with enterprise data platforms, SQL queries, or structured datasets.
  • Familiarity with manufacturing, agriculture, commodities, or supply chain environments.
  • Demonstrated curiosity and interest in business processes and operational analytics.

Benefits
This company offers a comprehensive benefits package that includes medical, dental, and vision coverage, company-paid life and disability insurance, a 401(k) with company match, paid time off, and access to additional voluntary benefits and wellness resources

How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!

Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
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