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Entry Level Data Analyst Jobs in Wisconsin (NOW HIRING)

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Entry Level Finance Opportunities Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI ... Analyze customer data and documentation such as invoices, tax exemption certificates, and financial ...

Entry Level Finance Opportunities Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI ... Analyze customer data and documentation such as invoices, tax exemption certificates, and financial ...

Madison, WI Employment Type: Full-Time / Entry Level About the Role: We are looking for a motivated ... Conduct market research and analyze data to identify trends and opportunities. * Maintain and ...

They are seeking an Information Security Analyst (Entry Level) to gain hands-on experience in cybersecurity, working alongside experienced professionals to protect the company's systems and data.

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 ...

This is an excellent opportunity for an entry-level candidate interested in building a career in ... Review credit applications, financial data, and credit reports to help assess risk * Assist in ...

This is an excellent opportunity for an entry-level candidate interested in building a career in ... Review credit applications, financial data, and credit reports to help assess risk * Assist in ...

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Entry Level Data Analyst information

See Wisconsin salary details

$13

$33

$62

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

As of Jul 17, 2026, the average hourly pay for entry level data analyst in Wisconsin is $33.23, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.12 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without 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 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

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.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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 the most commonly searched types of Data Analyst jobs in Wisconsin? The most popular types of Data Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Entry Level Data Analyst jobs? Cities in Wisconsin with the most Entry Level Data Analyst job openings:
Business Data Analyst

Business Data Analyst

IAT Insurance Group

Milwaukee, WI • On-site

$55K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago


IAT Insurance Group rating

8.7

Company rating: 8.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

67th of 281 rated insurance


Job description

IAT Insurance Group has an immediate opening for a Business Analyst from our Milwaukee, Wisconsin or Naperville, Illinois locations. This position works closely with Business Solutions Leads, Architects, and other key IT resources to drive the planning and definition of new technology solutions and enhancements to existing solutions.
This role works a hybrid schedule that requires working from the office Monday through Wednesday, with the option of working Thursday and Friday remotely.
While we prefer candidates to work from one of our IAT office locations, we are open to considering fully remote arrangements for the ideal candidate.
Responsibilities:
  • Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization.
  • Translate business needs into clear functional specifications, source-to-target mappings, and user stories for data and reporting solutions.
  • Profile, validate, and analyze data by writing SQL queries against source systems and the Insights warehouse.
  • Interpret Duck Creek policy XML data structures and map these to Insights staging tables and columns.
  • Partner with developers and data engineers to ensure delivered solutions meet documented requirements.
  • Facilitate stakeholder meetings, present findings, and produce documentation tailored to technical and non-technical audiences.
  • Support data quality, governance, and reporting initiatives within the Data Management organization.
  • Assist support team in analysis of data issues.
  • Perform other duties as needed.

Qualifications:
Must Have:
  • Bachelor's degree in Computer Science, Information Systems, or similar technology-related field with 2+ years of related experience
  • In lieu of a bachelor's degree and 2 years of experience, we will consider a candidate with 7+ years of related experience
  • Demonstrated experience as a Business Analyst, with proven requirements-gathering and process-analysis skills.
  • Hands-on knowledge of the Duck Creek Policy platform.
  • Knowledgeable in Extract Mapper tool from Duck Creek.
  • Working knowledge of the Duck Creek Insights data warehouse.
  • Significant experience in the P&C insurance industry.
  • Proficiency in writing SQL queries for data analysis and validation.
  • Excellent oral and written communication skills.
  • To qualify, all applicants must be authorized to work in the United States and must not require, now or in the future, VISA sponsorship for employment purposes.

Preferred to Have:
  • P & C Insurance experience
  • Familiarity with bureau / statistical reporting and insurance regulatory data.
  • Exposure to Agile delivery and tools such as Azure DevOps or Jira.
  • Bachelor's degree in business, Information Systems, or a related field, or equivalent experience.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We maintain a drug-free workplace and participate in E-Verify.
Compensation:
Please note, that the annual gross salary range associated with this posting is $55,200 - $120,330. Actual salaries will vary based on factors such as a candidate's qualifications, skills, competencies, and geographical location related to this specific role. The total compensation will include a base salary, performance-based bonus opportunities, 401(K) match, profit-sharing opportunities, and more.
To view details of our full benefits, please visit https://www.iatinsurancegroup.com/careers/benefits
IAT Insurance Group is the largest private, family-owned property and casualty insurer in the U.S. Insurance Answers Together® is how we define IAT, in letter and in spirit. We work together to provide solutions for people and businesses. We collaborate internally and with our partners to provide the best possible insurance and surety options for our customers.
At IAT, we're committed to driving and building an open and supportive culture for all. Our employees propel IAT forward - driving innovation, stable partnerships and growth. That's why we continue to build an engaging workplace culture to attract and retain the best talent.
We offer comprehensive benefits like:
  • 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid Days Off
  • 7% 401(k) Company Match and additional Profit Sharing
  • Hybrid work environment
  • Numerous training and development opportunities to assist you in furthering your career
  • Healthcare and Wellness Programs
  • Opportunity to earn performance-based bonuses
  • College Loan Assistance Support Plan
  • Educational Assistance Program
  • Mentorship Program
  • Dress for Your Day Policy

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We maintain a drug-free workplace and participate in E-Verify.

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