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

Milwaukee Tool

Sourcing Analyst II

Milwaukee, WI · On-site

Sourcing Analyst II INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our ... * Assist in development and execution of RFQs/RFPs/RFIs, including data collection, supplier ...

SSP Innovations

Project Controls Analyst

Milwaukee, WI · On-site

Identify data discrepancies and assist with research and resolution activities * Help maintain ... Analytical mindset with interest in reporting and data accuracy * Ability to manage multiple ...

Timothy Jon & Associates

Accounting Analyst

Milwaukee, WI

$59K - $77K/yr

... data analysis, and month-end close processes. The ideal candidate will have a solid foundation in ... Oversee vendor communications and respond to inquiries professionally. * Assist in developing ...

Timothy Jon & Associates

Accounting Analyst

Milwaukee, WI · On-site

$59K - $77K/yr

... data analysis, and month-end close processes. The ideal candidate will have a solid foundation in ... Oversee vendor communications and respond to inquiries professionally. * Assist in developing ...

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All JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Racine, WI

Assistant Data Analyst information

See Racine, WI salary details

$26.3K

$67.2K

$128.5K

How much do assistant data analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for assistant data analyst in Racine, WI is $67,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $78,300.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an Assistant Data Analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an Assistant Data Analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
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 Assistant Data Analyst jobs in Racine, WI look for? The top searched job categories for Assistant Data Analyst jobs in Racine, WI are:
What cities near Racine, WI are hiring for Assistant Data Analyst jobs? Cities near Racine, WI with the most Assistant Data Analyst job openings:
Assistant Data Analyst jobs near you

Operations Research Analyst

Foxconn WI

Mount Pleasant, WI

$60K - $70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Description
FII USA, Inc., a Foxconn Technology Group Company, is seeking an Operations Research Analyst to analyze production data and develop optimization strategies to improve efficiency across manufacturing operations. Once a part of the team, you will be responsible for a wide variety of tasks within the Production Department in an office/production environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing.

The Operations Research Analyst will develop data-driven models, identify process improvements, and support production optimization efforts while assisting this Production Department as needed.

Responsibilities
  •  Analyze production data from final assembly lines including assembly, testing, and packing processes
  •  Develop optimization models to improve line balancing, cycle time, throughput, and labor efficiency
  •  Identify bottlenecks in production processes and recommend data-driven improvements
  •  Support production planning, scheduling, and capacity optimization initiatives
  •  Apply statistical methods to analyze defects, improve yield, and reduce variability
  •  Collaborate with Manufacturing, Quality, Engineering, and Supply Chain teams to support operational improvements
  •  Design simulations and predictive models to evaluate production scenarios and resource allocation
  •  Monitor and report key performance indicators including OEE, takt time, throughput, and first pass yield
  •  Develop dashboards and reports to provide actionable insights to leadership and operations teams
  •  Support continuous improvement initiatives using Lean, Six Sigma, and data analytics methodologies
  •  Assist in automation and digitalization efforts by integrating data analytics into manufacturing systems
  •  Validate data accuracy and ensure integrity across reporting systems and databases
  •  Identify trends and patterns in production performance to support decision-making
  •  Present findings and recommendations to cross-functional stakeholders and leadership
  •  Other Duties as assigned 

Qualifications
  •  Bachelor’s Degree in Industrial Engineering, Operations Research, Data Science, Mathematics, or related field required
  •  1–3 years of experience in data analysis, operations research, or manufacturing analytics preferred
  •  Strong analytical and problem-solving skills with experience in statistical modeling and optimization techniques
  •  Experience working with large datasets and data visualization tools preferred
  •  Proficiency in Excel and data analysis tools (e.g., Python, R, SQL, or similar) preferred
  •  Familiarity with manufacturing KPIs such as OEE, takt time, and yield preferred
  •  Knowledge of Lean, Six Sigma, or continuous improvement methodologies preferred
  •  Strong communication skills with the ability to translate data into actionable insights
  •  Ability to manage multiple priorities in a fast-paced manufacturing environment
  •  Experience with MES, ERP, or production data systems preferred
  •  Ability to sit, stand, and walk in an office and production environment and lift up to 25 pounds 

Reasons you should work for us:
  • Comprehensive benefits package including medical, dental, and vision insurance coverage.
  • Basic life insurance and short-term disability coverage provided by employer.
  • Supplemental life insurance and long-term disability coverage options available.
  • 401K with employer contribution.
  • Personal, Vacation, and Holiday paid time off for all full-time employees.
  • Onsite Aurora Health & Wellness Center available for all employees.
  • Employees are continuously encouraged to learn and grow their careers in smart manufacturing.