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Remote Data Analyst Jobs in Winona, MN (NOW HIRING)

Altura LLC

Energy and Commissioning Engineer

Altura, MN · On-site +1

... remote locations will be considered. Scope & Responsibilities * Manage multiple, diverse energy and ... Leverage data analytics to support energy engineering and commissioning processes * Run new ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Winona, MN

Remote Data Analyst information

See Winona, MN salary details

$33K

$80.1K

$131.9K

How much do remote data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote data analyst in Winona, MN is $80,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Winona, MN?

The most popular types of Data Analyst jobs in Winona, MN are:

What job categories do people searching Remote Data Analyst jobs in Winona, MN look for?

The top searched job categories for Remote Data Analyst jobs in Winona, MN are:

What cities near Winona, MN are hiring for Remote Data Analyst jobs?

Cities near Winona, MN with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Winona, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $80,119 per year, or $38.5 per hour.

Quality Data Analyst

Good Culture

La Crosse, WI • On-site, Remote

Full-time

Re-posted 3 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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