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Data Analyst Jobs in La Crosse, WI (NOW HIRING)

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT: Quality TRAVEL REQUIREMENT: 5-15% JOB PURPOSE SUMMARY: Good Culture is on a ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT: Quality TRAVEL REQUIREMENT: 5-15% JOB PURPOSE SUMMARY: Good Culture is on a ...

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Data Analyst information

See La Crosse, WI salary details

$33.4K

$81.1K

$133.5K

How much do data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analyst in La Crosse, WI is $81,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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The most popular types of Data Analyst jobs in La Crosse, WI are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in La Crosse, WI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $81,129 per year, or $39 per hour.

Quality Data Analyst

Good Culture

La Crosse, WI • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

QUALITY DATA ANALYST 

LOCATION: Remote (WI or MN based candidates preferred)

REPORTS TO: Quality Systems Manager

DEPARTMENT: Quality

TRAVEL REQUIREMENT: 5-15%

JOB PURPOSE SUMMARY:

Good Culture is on a mission to zero defects - and we need a curious, data-driven thinker to help get us there. As our Quality Data Analyst, you'll sit at the intersection of food safety, analytics, and artificial intelligence, turning raw production data into insights that protect our brand and make every cup of cottage cheese better than the last.

You'll work closely with our co-manufacturing partners, Operations, Product Development, and FSQA Leadership - serving as the analytical engine behind our Quality Systems Pillar. If you love digging into data, experimenting with AI tools, and solving real-world problems in a fast-moving, purpose-driven company, this role was built for you.

ESSENTIAL JOB RESPONSIBILITIES:

  • Bridge quality and data: translate quality insights into a continuous, data-driven improvement process that the whole team can act on.
  • Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch issues early and strengthen our processes.
  • Monitor production data to ensure compliance with critical factors, specifications, and regulatory standards.
  • Own recurring reporting for leadership, operations, procurement, finance, and executive review.
  • Be the connective tissue for FSQA meetings - setting agendas, communicating progress, and keeping stakeholders aligned.
  • Track supplier performance and help build and maintain our supplier scorecard.
  • Support audits and quality documentation management.
  • Contribute to the development and implementation of food safety and quality programs.
  • Develop deep expertise in cottage cheese production and quality so you can anticipate problems before they happen.
  • Help protect and grow one of the most unique brands in food - because Good Makes Good.
  • Have fun and make a difference. 

JOB QUALIFICATIONS:

  • B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related field.
  • Sharp critical thinking skills - you can validate information, spot bad data, and apply sound judgment when working with AI-generated outputs.
  • Strong verbal and written communication skills; comfortable presenting to leadership and building relationships with co-manufacturing partners.
  • Ability to work independently and know when to loop others in.
  • Proficiency in Excel, Word, and PowerPoint.
  • Great attitude, desire to build something great, and love of cottage cheese.

Preferred:

  • 0-2 years of experience in tech services, food safety, or quality assurance.
  • Experience with Python, LLMs, command-line tools, or APIs.
  • Familiarity with AI workflows - Projects, Artifacts, agentic tools, and prompt engineering.
  • Food industry or co-manufacturing experience.
  • Certifications such as HACCP, PCQI, or SQF Practitioner.
  • Statistical knowledge and experience applying it to process improvement

ABOUT GOOD CULTURE:  

We believe that if you eat good things, and surround yourself with good, you'll feel good. Simple as that. That's why we decided to create a food company that offers real organic ingredients from trusted sources, promotes good health and tastes great. Our mission is to reinvent the food system, from the (actual) ground up. We are a cultured dairy company that currently makes pasture-raised cottage cheese, rich probiotic sour cream, cream cheese and probiotic milk. We're looking for some cultured healers! 

Good Culture is an equal opportunity employer. At Good Culture we also believe a great culture fosters and values a diverse, equitable, and inclusive workforce. We seek individuals of all backgrounds and experiences to apply for this position. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Good Culture is committed to creating an inclusive environment for all employees. 

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