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Entry Level Data Analyst Jobs in Wisconsin (NOW HIRING)

SynergisticIT

Entry Level Data Analyst

Kenosha, WI · On-site

SynergisticIT Job Opportunity SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all ...

SynergisticIT

Entry Level Cloud Engineer

Madison, WI · On-site

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ...

ULINE

Entry Level Finance Opportunities

Milwaukee, WI

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 ...

ULINE

Entry Level Finance Opportunities

Kenosha, WI · On-site

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 ...

DataAnnotation

$50 - $60/hr

... data analysis, and other reasoning exercises related to finance management A current, in progress ... Seniority Level Entry level Employment Type Full-time Job Function Finance and Sales Industries ...

Brewinc Events

Entry Level Marketing Assistant

Madison, WI

$44.30K - $54.90K/yr

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 ...

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Entry Level Data Analyst information

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$13

$33

$62

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

As of May 28, 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.

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.

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 Wisconsin? The most popular types of Data Analyst jobs in Wisconsin are:
What are popular job titles related to Entry Level Data Analyst jobs in Wisconsin? For Entry Level Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Wisconsin look for? The top searched job categories for Entry Level 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:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Wisconsin as of May 2026, with employment types broken down into 6% As Needed, 66% Full Time, 19% Part Time, and 9% Contract. Highlights an 39% Physical, 3% Hybrid, and 58% Remote job distribution, with an average salary of $69,128 per year, or $33.2 per hour.
Entry Level Data Analyst

Entry Level Data Analyst

SynergisticIT

Kenosha, WI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

SynergisticIT Job Opportunity

SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply. Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make their careers in the IT industry are encouraged to apply. Candidates who are serious about their future in the IT industry and have set big goals for themselves are also welcome. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio can benefit from our skill enhancement programs.

We offer skill enhancement programs if the candidates are missing skills or experience which our clients need. Candidates who lack experience, have had a break in careers, lack technical competency, or are different visa candidates who want to get employed and settle down in the USA are encouraged to apply.

Required Skills for Java/Software Programmers
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java, JavaScript, C++ or software programming
  • Spring boot, AWS, Microservices and REST API's experience
  • Excellent written and verbal communication skills
Required Skills for Data Science/Machine Learning
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis

Please understand skills are required by clients for selection even if it's a junior or entry level position. The additional skills are the only way a candidate can be picked by clients. No third party candidates or c2c candidates. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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