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Entry Level Data Analysis Jobs in Minnesota (NOW HIRING)

DeFiner Inc

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 ...

SynergisticIT

Entry-Level React Developer

Blaine, MN · On-site

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 ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

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 ...

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Entry Level Data Analysis information

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$12

$32

$60

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

As of Jul 6, 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 are popular job titles related to Entry Level Data Analysis jobs in Minnesota? For Entry Level Data Analysis jobs in Minnesota, the most frequently searched job titles 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:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Minnesota as of June 2026, with employment types broken down into 78% Full Time, 16% Part Time, 1% Temporary, 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 10 hours 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 recent graduates 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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