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Remote Data Analysis Jobs in Wisconsin (NOW HIRING)

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Showing results 21-40

Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in Wisconsin?

The most popular types of Data Analysis jobs in Wisconsin are:

What job categories do people searching Remote Data Analysis jobs in Wisconsin look for?

The top searched job categories for Remote Data Analysis jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Data Analysis jobs?

Cities in Wisconsin with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Quality Data Analyst

Good Culture

La Crosse, WI • On-site, Remote

Full-time

Re-posted 12 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.