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Data Analyst Jobs in Racine, WI (NOW HIRING)

Newance

Data Analyst

Brookfield, WI · On-site

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

Bertelsmann

Data Analyst

Pleasant Prairie, WI · On-site

Create data model processes, conduct analysis, and report results across all operations and clients. * Create ad-hoc reports in a timely manner to assist the leadership team in discovering ...

ULINE

Data Analyst

Pleasant Prairie, WI · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Uline

Data Analyst

Pleasant Prairie, WI

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

ULINE

Data Analyst

Pleasant Prairie, WI

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Rural Mutual Insurance

Data Analyst

Milwaukee, WI · On-site

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data ...

ULINE

Data Analyst

Milwaukee, WI

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

ULINE

Data Analyst

Waukegan, IL

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

ULINE

Data Analyst

Kenosha, WI

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Uline

Data Analyst

Pleasant Prairie, WI

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Title : Sr Data Analyst Location : Milwaukee, WI Type : Hybrid (3 days onsite per week) Duration : ASAP - May 2025 Perks : Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This ...

US Bank

Data Analyst - Operations

Milwaukee, WI

Analyze and transform data to support operational business needs * Partner with internal stakeholders to gather requirements and identify solutions * Work with ETL tools to intake, validate ...

New

DivIHN Integration Inc

PLM Data Analyst

Racine, WI · On-site

PLM Data Analyst Location: Onsite Critical in Racine, WI Duration: 6 Months Hours: Flexibility within core business hours of 9-3 SUMMARY Role is "more critical thinking as data detective on one piece ...

IAT Insurance Group

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization. * Translate business needs into clear functional specifications, source-to-target ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization. * Translate business needs into clear functional specifications, source-to-target ...

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Showing results 1-20

All JobsData Analyst JobsData Analyst Jobs in Racine, WI

Data Analyst information

See Racine, WI salary details

$31.9K

$77.5K

$127.5K

How much do data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data analyst in Racine, WI is $77,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

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, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about 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 are popular job titles related to Data Analyst jobs in Racine, WI? For Data Analyst jobs in Racine, WI, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Racine, WI look for? The top searched job categories for Data Analyst jobs in Racine, WI are:
What cities near Racine, WI are hiring for Data Analyst jobs? Cities near Racine, WI with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Racine, WI as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 69% In-person, 10% Hybrid, and 21% Remote job distribution, with an average salary of $77,490 per year, or $37.3 per hour.
Data Analyst

Data Analyst

Newance

Brookfield, WI • On-site

Full-time

Posted 19 days ago

Job description

About MLG Capital
MLG Capital is a private real estate investment manager focused on delivering long‑term, tax‑efficient, risk‑adjusted returns through diversified real estate strategies across the United States. As our platform continues to scale nationally, we are strengthening our data and reporting capabilities to drive operational efficiency, improve decision‑making, and reduce the time required to produce core business insights.
This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm.
Role Overview
This position will serve multiple business lines, working closely with Asset Management, Portfolio Management, Acquisitions teams and more over time, to ensure that data-driven efficiencies are introduced wherever they are most needed. By collaborating across these areas, the Data Analyst will help deliver timely, accurate insights and empower each team to make more informed decisions and achieve their goals with greater speed, while working with the Data Engineering team and BI team to continue to deliver automated and scalable solutions.
The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting with reduced manual effort.
Key Responsibilities
Core Business Support
    • Act as the subject matter expert for data, workflows, KPIs, and reporting logic across Asset Management, Portfolio Management, Fund Accounting/Tax, and Acquisitions.
    • Proactively engage business stakeholders-including senior leadership-to gather, document, and align reporting requirements, data sources, and field definitions with organizational goals.
    • Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions, resolve data gaps, and improve pipeline robustness.
  • Reporting and Data Management
    • Maintain and refresh recurring weekly, monthly, and quarterly reports, dashboards, and Excel/BI outputs for business consumption.
    • Clean, transform, and standardize data, ensuring quality through QA, reconciliation, exception detection, and report testing.
    • Implement data quality frameworks, validation rules, and monitoring processes to ensure analytics outputs are accurate, reliable, and consistent.
  • Process Improvement and Collaboration
    • Establish and manage structured project workflows, cross-functional collaboration, and effective communication across assigned initiatives.
    • Continuously review and enhance reporting workflows, data intake, and operational procedures to identify and eliminate inefficiencies and bottlenecks.
    • Map and recommend improvements for current- and future-state workflows to increase scalability, reduce manual effort, and promote operational excellence.
  • Documentation and Change Management
    • Document business logic, field definitions, DDL, KPI formulas, and reporting requirements to support knowledge sharing and process transparency.
    • Support change-management efforts to drive adoption and maintenance of new and enhanced data solutions.
    • Advocate for standardized data practices and collaborate on initiatives to enhance data completeness, accuracy, and auditability.
  • Analytics Advancement
    • Identify gaps in data feeds and scope new sources to advance analytics capabilities.
    • Recommend and implement enhancements that support the firm's strategic goals for data-driven decision-making.

Skills & Qualifications
  • 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended.
  • Expert Excel skills and very strong with BI/reporting tools (Power BI preferred).
  • Ability to work with messy or incomplete data and improve it through cleansing and transformation.
  • Understanding of data modeling basics and data process flows.
  • Strong verbal and written communication skills, including translating business needs into data requirements.
  • Process‑oriented mindset with passion for increasing efficiency and reducing manual work.
  • Comfortable working with both business stakeholders and technical teams.

Skills & Qualifications
  • 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended.
  • Expert Excel skills and very strong with BI/reporting tools (Power BI preferred).
  • Ability to work with messy or incomplete data and improve it through cleansing and transformation.
  • Understanding of data modeling basics and data process flows.
  • Strong verbal and written communication skills, including translating business needs into data requirements.
  • Process‑oriented mindset with passion for increasing efficiency and reducing manual work.
  • Comfortable working with both business stakeholders and technical teams.
  • Innate curiosity and critical thinking skills; thrives on solving complex problems and enjoys the challenge of unraveling data puzzles to uncover valuable insights.
  • Skilled at bridging the gap between technical and business perspectives, able to communicate effectively across teams and tailor solutions to meet real-world needs.
  • Self-motivated and energized by challenges; approaches obstacles as opportunities for creative solutions and continuous improvement.
  • Team-oriented mindset; values collaboration, celebrates collective wins, and contributes to a positive, high-performance culture.

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