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Entry Level Data Analyst Jobs in Minneapolis, MN

Pwc

AI & GenAI Data Scientist - Manager

Minneapolis, MN · On-site

$99K - $232K/yr

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

Infinity Direct

Marketing Analyst

Minnetonka, MN · On-site

$55 - $80/hr

Position ID is seeking an entry-level Marketing Analyst in a hybrid work environment officing in ... Explore data with an eye towards objective-focused insight while always being mindful of potential ...

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Entry Level Data Analyst information

See Minneapolis, MN salary details

$14

$34

$65

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

As of Sep 5, 2026, the average hourly pay for entry level data analyst in Minneapolis, MN is $34.90, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $38.99 per hour, depending on experience, location, and employer.

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 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 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.

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.

More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Minneapolis, MN?

The most popular types of Data Analyst jobs in Minneapolis, MN are:

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For Entry Level Data Analyst jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst jobs in Minneapolis, MN look for?

The top searched job categories for Entry Level Data Analyst jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Entry Level Data Analyst jobs?

Cities near Minneapolis, MN with the most Entry Level Data Analyst job openings:

Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Minneapolis, MN as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $72,583 per year, or $34.9 per hour.

Data Protection, A/SA-Evergreen

Accenture

Minneapolis, MN

$84K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job description

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members to help design, implement, and operate data protection capabilities while building strong foundational skills in security, compliance, and client delivery.

What you'll do

  • Support client engagements focused on data protection, data governance, and compliance initiatives.

  • Assist with configuration and administration of Microsoft Purview capabilities (e.g., sensitivity labels/encryption, DLP policies, data classification/discovery, Insider Risk Management).

  • Participate in requirements gathering, workshops, and documentation efforts.

  • Execute assigned tasks within project plans and contribute to on-time, high-quality delivery.

  • Develop technical documentation, configuration guides, and client-ready deliverables.

  • Actively pursue learning, certifications, and hands-on experience in data protection technologies.

  • Contribute to emerging areas such as AI and agentic AI security, under guidance.

.

Qualifications

  • 2+ years of relevant experience.

  • Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent experience).

  • Exposure to Microsoft 365 or Azure environments preferred.

  • Prior internship, academic project, or entry-level experience in security or compliance is a plus.

  • Microsoft security-related certifications strongly preferred (e.g., SC-900, AB-900, AI-901).

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanadeprovidesa reasonable range of compensation for roles that may be hired as set forth below.

Weanticipatethis job posting will be posted until 8/31/2026.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here:Benefits and Total Rewards | Avanade United States

Role Location Annual Salary Range

California $84,800to $100,700

Cleveland $76,000to $90,250

Colorado $76,000to $90,250

District of Columbia $88,000to $104,500

Illinois$84,800to $100,700

Maine $76,000to $90,250

Maryland $88,000to $104,500

Massachusetts $88,000to $104,500

Minnesota $84,800to $100,700

New York $92,800to $110,200

New Jersey $84,800to $100,700

Virginia $84,800to $100,700

Washington $88,000to $104,500

.

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