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Data Analyst Jobs in Appleton, WI (NOW HIRING)

Customer Logistics Data Analyst Essity is a global leader in health and hygiene with our corporate headquarters in Stockholm, Sweden, and North American headquarters in Philadelphia, PA. We are a ...

Emplify Health by Bellin is Hiring an Accountable Care Health Data Analyst for Value-Based Care and Population Health Management! Job Specifics: Location: 1920 Libal St, Green Bay, WI 54301, remote ...

They are seeking an experienced Customer Logistics Data Analyst to support regional logistics projects and process improvement initiatives through in-depth analysis. Responsibilities : • Manages ...

Sr Data Architect

Green Bay, WI · On-site

$65.50 - $87.50/hr

You will also lead and develop the Data Analyst team and build scalable, well-modeled datasets that can support advanced analytics, machine learning, and emerging AI/agentic workflows. Key ...

Data Analyst information

See Appleton, WI salary details

$32.6K

$79.3K

$130.4K

How much do data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data analyst in Appleton, WI is $79,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 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.
What are the most commonly searched types of Data Analyst jobs in Appleton, WI? The most popular types of Data Analyst jobs in Appleton, WI are:
What job categories do people searching Data Analyst jobs in Appleton, WI look for? The top searched job categories for Data Analyst jobs in Appleton, WI are:
What cities near Appleton, WI are hiring for Data Analyst jobs? Cities near Appleton, WI with the most Data Analyst job openings:
SIOP Data Analyst

SIOP Data Analyst

Little Rapids Corporation

Green Bay, WI

Full-time

Posted 2 days ago


Job description

THE COMPANY

Little Rapids Corporation (LRC) is a specialty paper manufacturer and converter of paper, film, cotton, and nonwoven materials. The company’s headquarters is in Green Bay and is privately held with annual sales of over $200 million and 450 employees at three Wisconsin locations. The business has two divisions that sell a wide variety of products in the healthcare, beauty, flexographic printing, and specialty paper markets. Rapids Green Bay supplies printed film, paper, and nonwovens. Rapids Shawano has three paper machines that manufacture tissue, machine glazed, and wet crepe paper. Graham Professional manufactures and sells one-time use products into the healthcare and beauty markets through a network of national and regional distributors.

With its family ownership dating back to 1947, the company is guided by a strong and positive culture. LRC’s purpose is remarkably simple: to bring together all their people’s talents and energies to create an outstanding organization that delivers true value to their customers. The four core values of the business are lived out by ownership and top leadership and serve as a guide to all interactions, behavior, expectations, and strategic initiatives. These values are:

  • Care: Take Care of One Another & Always Be Transparent
  • Act: Dream Big, Think Big, Act Big, Create Contagious Energy
  • Learn: Improve Every Day while Being Humble
  • Serve: Do Great Things & Be Easy to Work With

Position Summary:

Lead reporting and data analysis for key supply chain processes supporting the Sales Inventory and Operations Planning Process (SIOP). Power BI superuser for data mining and report templates supporting the Supply Chain function across all LRC Divisions.

Objectives:

  • Achieving financial plan results including service and working capital improvement via SIOP Process
    • In conjunction with the SI&OP leader, coordinate and manage the SIOP process across the corporation
    • Lead demand analysis for all 3 divisions
    • Work with Finance Partners to align financial forecasting with SIOP demand and inventory plans
    • Work with Supply Chain and cross functional peers to deliver SIOP reporting and analysis to the management teams for each division and to the Senior Leadership Team.
    • Highlight issues and make recommendations to close/ mitigate potential gaps identified thru the SIOP process.
    • Other assignments as prioritized by management team
  • Achieve plan results for gross margin expansion via Strategic Sourcing initiatives
    • Support strategic sourcing team by providing reporting and spend analytics
    • Support forecasting of costs thru market and macro-economic analysis
  • Continuous improvement/ Process focus
    • Facilitate data gathering in support of Supply Chain improvement activities and major initiatives
    • Strive to improve the SIOP process via structured reviews to identify process gaps and improvement opportunities

Results:

  • Achieve or exceed desired Little Rapids Corporation goals and objectives
  • Meet or exceed margin, inventory and cash flow targets
  • Operate as the Supply chain functional expert for reporting and data analysis and be a force multiplier in delivering against financial targets

Actions:

  • Role is on site at Larsen Rd to support operations and supply chain activities with travel to other locations as needed.
  • Schedule, attend, participate, and facilitate cross functional meetings that support the operational rhythm for each division
  • Utilize various data sources to forecast and manage demand in support of the planning teams at each division
  • Collaborate with commercial teams at each division to incorporate data and trends to develop a demand forecast on a rolling 12- month basis
  • Communicate the demand plan as part of the SIOP process with a holistic approach focused on intercompany interactions
  • Organize and analyze relevant data to support the broader supply chain team
  • Understand how the JDE ERP and any other data source interacts with Power BI to deliver user friendly and appropriate reporting and analysis
  • Collaborate with all internal parties to understand and pursue issue resolution
  • Proactively support systems and process improvement for the SIOP process

This is not an exhaustive list of duties or functions and may not necessarily comprise all the "essential functions" for purposes of the ADA.

Education, Certifications, and Experience:

  • BA or BS Degree in business with Supply Chain focus
  • Knowledge and experience with forecasting and demand management processes required
  • Power BI and/or other reporting systems experience a plus
  • Knowledge of paper industry preferred
  • ASCM certified or progress towards professional supply chain and/or purchasing certification a plus

Key Competencies:

  • ERP knowledge at a transactional and process level
  • Ability to analyze data and derive a demand/forecast plan
  • Data supported problem solving
  • Continuous improvement mindset
  • Ability to create templates and reports utilizing Power BI
  • Proficient computer skills and knowledge (MS Office suite, e-mail, etc.)
  • Work under minimal supervision

Physical Requirements:

The ability to work in a normal manufacturing environment to include: sitting, standing, or walking for long periods of time; climbing stairs; operating various standard office equipment; carrying paper documents/files; reaching; bending; crawling; speaking on the telephone; wearing required personal protection gear (i.e. hearing, eye and foot protection); tolerating loud noise (maximum of 95 dB); tolerating extreme heat, cold and dusty environment.

EOE including disability/veteran