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Remote Operations Analyst Jobs in Onalaska, WI (NOW HIRING)

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... You'll work closely with our co-manufacturing partners, Operations, Product Development, and FSQA ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... You'll work closely with our co-manufacturing partners, Operations, Product Development, and FSQA ...

DLF North America is currently recruiting for a Turf Breeder, NA for our operation located in West ... Collect nursery data and supervise the collection of such in remote trial locations. * Analyze ...

Utilizes independent analytical and critical thinking skills. Works independently and ... Assists in developing and training HIMS operational teams. Professionally communicates through all ...

Remote Operations Analyst information

See Onalaska, WI salary details

$13

$31

$52

How much do remote operations analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote operations analyst in Onalaska, WI is $31.36, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $37.50 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Operations Analyst, you need strong analytical abilities, data interpretation skills, and experience with process optimization, typically supported by a degree in business, operations, or a related field. Familiarity with tools like Excel, data visualization platforms (such as Tableau or Power BI), and workflow management systems is commonly required, and certifications in Lean Six Sigma or project management can be advantageous. Excellent communication, time management, and problem-solving skills are essential for collaborating with cross-functional teams and working independently. These competencies are crucial for accurately monitoring operational performance and driving improvements from a remote setting.

What are the typical daily responsibilities of a remote operations analyst?

As a Remote Operations Analyst, your typical day involves gathering and analyzing operational data, identifying trends or inefficiencies, and generating actionable insights to enhance workflows. You'll often work with digital dashboards and reporting tools to monitor key performance indicators and create reports for management. Collaboration is frequent with other departments, such as IT, customer service, or logistics, to implement process improvements or investigate challenges. While your work is largely independent, strong virtual teamwork and communication skills are vital to keep projects on track and ensure seamless remote collaboration.

What is a remote operations analyst?

A Remote Operations Analyst monitors and manages operational processes, systems, or data for a company from a remote location. They analyze performance metrics, troubleshoot issues, and optimize workflows to ensure efficiency. This role often involves using digital tools, data analytics, and communication platforms to collaborate with teams and provide actionable insights. Industries such as finance, technology, and logistics frequently employ Remote Operations Analysts to maintain seamless operations across distributed teams. Strong analytical, problem-solving, and communication skills are essential for success in this role.

What job categories do people searching Remote Operations Analyst jobs in Onalaska, WI look for? The top searched job categories for Remote Operations Analyst jobs in Onalaska, WI are:
What cities near Onalaska, WI are hiring for Remote Operations Analyst jobs? Cities near Onalaska, WI with the most Remote Operations Analyst job openings:

Quality Data Analyst

Good Culture

La Crosse, WI • On-site, Remote

Full-time

Posted 26 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.