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Junior Data Analyst Jobs in Racine, WI (NOW HIRING)

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

As part of theData & Analytics team, you will design and deliver a Snowflake-centered data platform ... Lead design and code reviews, share engineering best practices, and mentor junior data engineers.

Johnson Controls

Senior Pricing Analyst

Milwaukee, WI · On-site

$85K - $117K/yr

Guide and mentor junior pricing analysts, sharing best practices and strengthening team capability. * Own the quality and integrity of your analysis by validating data, documenting assumptions, and ...

Johnson Controls

Senior Pricing Analyst

Milwaukee, WI

$85K - $117K/yr

Guide and mentor junior pricing analysts, sharing best practices and strengthening team capability. * Own the quality and integrity of your analysisby validating data, documenting assumptions, and ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

Responsibilities - Designing and implementing thorough data architecture strategies - Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members - Upholding ...

Twin Disc, Inc.

Junior Sourcing Specialist

Racine, WI · On-site

Ensure procurement data accuracy and assist with order maintenance activities. Supplier Performance ... Track and analyze supplier performance metrics, including: * Purchase Order Acknowledgements * On ...

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Junior Data Analyst information

See Racine, WI salary details

$32.4K

$74.4K

$119.6K

How much do junior data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior data analyst in Racine, WI is $74,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $76,400.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

How to get a job as a junior data analyst with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also improve your chances and demonstrate your abilities to employers.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

More about Junior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Racine, WI?

The most popular types of Data Analyst jobs in Racine, WI are:

What job categories do people searching Junior Data Analyst jobs in Racine, WI look for?

The top searched job categories for Junior Data Analyst jobs in Racine, WI are:

What cities near Racine, WI are hiring for Junior Data Analyst jobs?

Cities near Racine, WI with the most Junior Data Analyst job openings:

Junior Data Analyst jobs near you
Infographic showing various Junior Data Analyst job openings in Racine, WI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $74,406 per year, or $35.8 per hour.

Digital Personalization Analytics Expert (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 12 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,464 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About the Role

In this role you will ensure the creation of best-in-class digital experiences for Kohl’s customers using advanced analytics geared toward diagnostics, customer-level 1:1 modeling and in-market testing.

What You’ll Do

  • Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value

  • Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment

  • Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies

  • Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders

  • Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability

  • Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence

  • Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications

  • Champion production-grade machine learning practices, promoting scalable code and robust deployment standards

  • Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact

  • Establish and maintain strong working relationships and achieve results by working collaboratively with others

  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field

  • 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience

  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub

  • Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.

Preferred

  • Master's degree and/or Ph.D.

  • Digital / Ecommerce data science experience

  • Retail and Marketing experience

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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