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Entry Level Data Analysis Jobs in Minnesota (NOW HIRING)

CFS

Entry Level Staff Accountant

Minneapolis, MN

$58K - $65K/yr

... } 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 ...

RFA Engineering

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 ...

Brooksource

Quality Technician

Minneapolis, MN · On-site

$52K - $63K/yr

Perform basic electronic data entry, calculations, and data analysis. * Initiate Document Change ... an entry-level HVAC Technician role--it's a true launching pad for your career in the skilled ...

UnitedHealth Group

Actuarial Analyst

Eden Prairie, MN

$60K - $107K/yr

We are seeking an entry-level Actuarial Analyst to join our team. This role is designed for early ... Perform data extraction, validation, and analysis using tools such as SQL, SAS, Excel, or similar ...

UnitedHealth Group

Actuarial Analyst

Eden Prairie, MN · On-site

$60K - $107K/yr

We are seeking an entry-level Actuarial Analyst to join our team. This role is designed for early ... Perform data extraction, validation, and analysis using tools such as SQL, SAS, Excel, or similar ...

Barr

Civil Engineer - Entry Level (Hybrid)

Hibbing, MN · Hybrid

$70K - $85K/yr

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.

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Minnesota

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 Jun 13, 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.

How to get hired as an entry-level data analyst?

To get hired as an entry-level data analyst, candidates should develop foundational skills in data analysis tools like Excel, SQL, and Python or R, and build a portfolio of relevant projects. Earning certifications such as Microsoft Data Analyst Associate or Google Data Analytics can improve prospects, along with gaining internship experience or completing relevant coursework. Strong communication skills and the ability to interpret data for non-technical audiences are also important.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having 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.

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.

Is 40 too late for data science?

Entry level data analysis roles are accessible at any age, including at 40 or older. Success depends on acquiring relevant skills such as proficiency in Excel, SQL, and data visualization tools, as well as building a strong portfolio and gaining practical experience. Age is less important than skills, continuous learning, and adapting to industry tools and methods.

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.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, such as data cleaning and basic reporting, but they do not replace the need for skilled data analysts. Entry-level data analysis roles still require critical thinking, domain knowledge, and interpretation skills that AI cannot fully replicate. Professionals who develop expertise in data visualization, programming, and statistical methods remain valuable in the field.

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 60% Full Time, 22% Part Time, 4% Temporary, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $67,077 per year, or $32.2 per hour.
Medical Device Complaint Specialist

Medical Device Complaint Specialist

Three Point Solutions, Inc.

Moundsview, MN • On-site

Full-time

Posted 24 days ago

Job description

Job Title: Medical Device Complaint Specialist
Client: Medical Device Manufacturing Company
Location: Mounds View, MN 55112
Duration: 12 Months (Possible Extension)
Shift: 1st Shift
Job Summary
Entry-level medical device safety and complaint investigation role responsible for intake, documentation, adverse event reporting, MDR submissions, and vigilance activities for Neurovascular products while ensuring compliance with regulatory requirements.
Key Responsibilities
• Review, document, and investigate product complaints
• Process Medical Device Reports (MDRs) and adverse event cases
• Maintain accurate complaint and vigilance records
• Analyze safety and clinical data for reporting purposes
• Ensure compliance with FDA and global regulatory requirements
• Support complaint investigations and follow-up activities
• Collaborate with cross-functional teams and external partners
• Assist with process improvements and quality initiatives
• Prepare regulatory documentation and reports
Core Duties
• Complaint handling & investigation
• Medical Device Reporting (MDR)
• Adverse event processing
• Regulatory compliance support
• Safety data review & analysis
• Documentation & case management
Required Skills
• Critical thinking and decision-making
• Strong attention to detail
• Excellent written and verbal communication
• Investigation and problem-solving skills
• Documentation and record management
• Organization and time management
Preferred Skills
• Medical device industry experience
• Pharmaceutical industry experience
• Complaint handling experience
• Regulatory reporting knowledge
• Quality or compliance exposure
• Clinical data review experience
Technical / Functional Exposure
• Medical Device Reporting (MDR)
• Vigilance & Post-Market Surveillance
• Complaint Investigation
• Adverse Event Reporting (ADE)
• Regulatory Compliance
• Clinical & Safety Data Analysis
Work Environment
• Medical device regulatory and quality environment
• Cross-functional collaboration with quality, regulatory, and clinical teams
• Process-driven and compliance-focused role
• Training and development opportunities for entry-level professionals
Education / Experience
• Bachelor's Degree in Bio-Sciences, Engineering, Life Sciences, or related field required
• Experience in Medical Device, Pharmaceutical, Quality, Regulatory, Clinical, or related industry
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