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

PLM Data Analyst Location: Onsite Critical in Racine, WI Duration: 6 Months Hours: Flexibility ... with senior team members 5. Excellent Communication Skills; Written and Verbal TECHNOLOGY ...

Senior Data Engineer

Waukegan, IL · On-site

$96K - $148K/yr

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Data Analytics - Operations

Milwaukee, WI · Hybrid

$84K - $106K/yr

As a Data Analyst , you'll work with powerful tools like SQL, Alteryx, and DOMO to transform ... Present findings and recommendations to stakeholders at all levels, including senior leadership

Data Analytics - Operations

Milwaukee, WI · On-site

$84K - $106K/yr

As a Data Analyst , you'll work with powerful tools like SQL, Alteryx, and DOMO to transform ... Present findings and recommendations to stakeholders at all levels, including senior leadership

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 ...

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 ...

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

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Conduct root cause analysis on production incidents and implement permanent fixes * Mentor junior ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Showing results 21-40

Senior Data Analyst information

See Racine, WI salary details

$51.6K

$93K

$127.1K

How much do senior data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for senior data analyst in Racine, WI is $93,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $101,700.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior 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 Senior Data Analyst jobs in Racine, WI look for? The top searched job categories for Senior Data Analyst jobs in Racine, WI are:
What cities near Racine, WI are hiring for Senior Data Analyst jobs? Cities near Racine, WI with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Racine, WI as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $93,046 per year, or $44.7 per hour.
PLM Data Analyst

PLM Data Analyst

DivIHN Integration Inc

Racine, WI • On-site

Contractor

Posted 10 days ago


Job description

For further inquiries regarding the following opportunity, please contact our Talent Specialist
Lavanya at 224 369 0873 
 
Title: 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 of data". Position is heavy data entry and reviewing information for accuracy within the Raw Materials Group at client. This is not a Light Industrial Role or an IT role.
REQUIRED EDUCATION:
Bachelor's Degree in any discipline
TOP 5 REQUIRED SKILLS:
1. Experience working in a PLM (Product Life Cycle Management) environment.
2. Experience with Microsoft Office word, excel, pdfs
3. Proven ability to pay attention to detail and accurately transpose information into system
4. Ability to work independently and as a team with senior team members
5. Excellent Communication Skills; Written and Verbal
TECHNOLOGY PROFICIENCIES:
Microsoft Office
PREFERRED ATTRIBUTES:
Working experience in SAP
Experience as a data steward
INTERVIEW FORMAT: 1 Round of onsite with a panel of 2-3 others
CONVERSION: Questionable