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Data Analyst Mid Level Jobs in Wisconsin (NOW HIRING)

Dentaquest

Workflow Data Analyst

Grafton, WI · On-site

... data that drives claims processing. The Workflow Systems Configuration Analyst I is also ... Intermediate level experience using MSOffice applications, including SharePoint * Excellent oral ...

PUBG Madglory

Mid-Level/Senior Animator

Madison, WI · On-site +1

$106K - $121K/yr

Qualifications: * 3+ years' experience for mid-level/5+ years' experience for senior level in game ... Experience utilizing and cleaning motion capture data. * Understanding of rigging and technical ...

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... level. * Ability to simplify complex findings to develop unique, practical solutions. * Able to ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

... and enterprise data initiatives. This is a strong opportunity for a high-upside mid-level ... A traditional analyst often focuses primarily on report production, ad hoc analysis, dashboard ...

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All JobsData Analyst Mid Level JobsData Analyst Mid Level Jobs in Wisconsin

Data Analyst Mid Level information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data analyst mid level jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data analyst mid level in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a mid-level data analyst, starting a career in data science at age 40 is feasible, especially if you have relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data roles later in life by gaining certifications, building portfolios, and leveraging prior experience. Age is less a barrier than skills, continuous learning, and practical experience in the field.

What is a mid-level analyst?

A mid-level data analyst is a professional with several years of experience who analyzes data to identify trends, create reports, and support decision-making. They typically have proficiency in tools like Excel, SQL, and data visualization software, and may work under the supervision of senior analysts or managers.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a mid-level data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are less likely to be fully replaced by AI in the near term.

What jobs make $1,000,000 a year?

In the field of data analysis, earning $1,000,000 annually is uncommon and typically requires senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings in this field usually involve extensive experience, advanced skills in analytics tools, and leadership responsibilities within large organizations or consulting firms.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

What are the most commonly searched types of Data Analyst jobs in Wisconsin? The most popular types of Data Analyst jobs in Wisconsin are:
What are popular job titles related to Data Analyst Mid Level jobs in Wisconsin? For Data Analyst Mid Level jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Analyst Mid Level jobs in Wisconsin look for? The top searched job categories for Data Analyst Mid Level jobs in Wisconsin are:
Data Analyst Mid Level jobs near you
Senior Operational Excellence Data Analyst

Senior Operational Excellence Data Analyst

Schreiber Foods, Inc.

Green Bay, WI • On-site

$83K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Schreiber Foods rating

8.2

Company rating: 8.2 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

62nd of 397 rated food and drinks producers

Job description

Job Category:
Engineering
Job Family:
Operations Excellence
Job Description:
This Senior Operational Excellence Data Analyst is responsible for achieving operational and functional targets through independent ownership of moderately complex projects and assignments that directly impact team and job family results. Operating as an established professional under limited supervision, the individual contributes to defining project objectives and leads significant portions of initiatives that support operational performance. The role regularly communicates with partners within Operations and related functions on topics requiring explanation, interpretation, and advisement, influencing concepts, practices, and approaches at an operational level to enable effective execution and decision-making.
The position focuses on identifying and implementing moderate improvements to processes, procedures, or systems that enhance team effectiveness and operational outcomes. Problems addressed are often difficult and mildly complex, with impact across multiple teams, requiring advanced job knowledge, sound judgment, and demonstrated functional competence. The role also provides assistance and training to partners to build capability, consistency, and adoption of best practices within the team and broader organization.
What you'll do:
  • Develop and Sustain SFI Data & Operational Excellence Culture
    Support, coach, and reinforce data-driven decision making and Operational Excellence principles with partners and Team Members. Champion measurement, structured problem-solving, and process discipline to drive positive partner behaviors and sustained performance improvement.
  • Operational Data Enablement & Business Partnership
    Serve as the bridge between Operations and Schreiber's technical data teams to translate complex data into actionable insights. Partner closely with operations, manufacturing engineering, process engineering, sourcing, packaging engineering, and FP&A to enable plant teams to identify and act on opportunities related to quality, delivery, capacity, and cost.
  • Production Data Needs & Use-Case Definition
    Understand, define, and prioritize the data needs of production teams to support effective business decisions. Apply structured improvement methodologies (e.g., Lean Six Sigma) to support cost, quality, and operational performance initiatives through disciplined data use.
  • Data Structure Development, Collection, and Preparation
    Develop, standardize, and maintain data structures and data pipelines that enable reliable data collection from multiple sources. Ensure data accuracy, completeness, and consistency to support trusted analytics and KPI reporting.
  • Data Exploration, Analysis, and Model Development
    Apply analytical and statistical methods to explore data, identify trends, and uncover root causes. Where appropriate, develop and maintain models to forecast performance and support proactive, data-based decision making.
  • Data Visualization, KPI Standards, and Reporting
    Establish standards and develop clear, intuitive data visualizations using tools such as Power BI. Translate insights into visual formats that are easily understood and actionable, including leadership dashboards and plant-floor visualizations (e.g., HMI screens), to drive alignment and execution.
  • Training, Enablement, and Capability Building
    Provide targeted training, standards, and enablement that build Operations' capability to independently access, analyze, and visualize data. Empower partners to adopt best practices in data analytics and visualization to sustain results beyond direct support.
  • Cross-Functional Collaboration & Continuous Improvement Leadership
    Actively collaborate across functions to promote best practices in data access, analytics, and KPI visualization. Champion continuous improvement through effective use of data, analytics, and insight-driven problem resolution.
  • May be required to perform other job-related tasks.

What you need to succeed:
  • Bachelor's degree in Engineering, Data Analytics, Operations or related technical field.
  • 7+ years experience in manufacturing/operations, engineering, technical or related area in building and interpreting operational metrics, dashboards, and analysis.
  • Proficiency in Excel, SQL, Power BI, and/or Tableau
  • Knowledge/proficiency of statistical programming languages like Phyton or commitment to develop proficiency within 12-24 months is expected.
  • Data collection, cleaning and governance practices
  • Lean and Six Sigma disciplines where applicable
  • Problem-solving skills and ability to translate data into action.
  • Ownership, self-started mindset; servant mindset
  • Desire to grow and take on new challenges and opportunities.
  • Travel varies depending on manufacturing needs. Ability to travel 20% - 40% as required.

Eligible partners will receive:
  • Get not one, but TWO retirement benefits. When you join our employee-owned company, you'll be part of our Employee Stock Ownership Plan (ESOP) from day one. In addition to an 8% 401(k) match into the ESOP, Schreiber will contribute an extra amount - about 8% of your earnings - toward your retirement every year. That's a company contribution of around 16% in retirement savings annually. That's hard to beat!
  • Earn bonus pay. You'll have an opportunity to earn incentive pay twice a year when we meet our company goals.
  • Ready to make a move? Receive a $10,000 relocation bonus PLUS a generous relocation package if relocating more than 50 miles for a U.S. Salaried position.
  • Childcare costs. Get up to $5,000 annually to help you with the cost of childcare. Monthly contributions toward childcare expenses, including independent babysitters.
  • Earn extra money for taking care of yourself. Eligible partners can earn a Wellness Incentive and receive an employer-funded Lifestyle Spending Account (LSA) to use on fitness, mental health, and other lifestyle expenses.
  • Pursue development that's relevant to your role, career goals and the company. Plus, we offer tuition reimbursement if you want to further your education to grow in your role at Schreiber.
  • Get access to medical, prescription drug, dental and vision benefits starting day one. This includes an onsite nurse and mental health counselor.
  • Experience caring like you've never experienced it before. We have a program that's completely organized by and for other partners who need extra help. It's called Partners Helping Partners. We have hundreds of examples of partners organizing fundraisers to help out others going through a hard time.
  • Benefits that support your whole life. Visit Schreiber - Care for you to see everything Schreiber offers to support your health, wellbeing, and financial future.

Sound like a company you'd like to be a part of? Click Apply.
Need extra assistance with the application process? Contact recruiting@schreiberfoods.com or call 920-437-7601.
For positions that require any amount of travel: Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required.
Schreiber requires that an employee have authorization to work in the country in which the role is based. In the event, an applicant does not have current work authorization, Schreiber will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship.
An Equal Opportunity Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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