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

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Data & Systems Analysis: Work with data teams to validate data flows, mappings, and integration ... This is a fully remote position; candidates must be based in regions that align with the Pacific ...

Data & Systems Analysis: Work with data teams to validate data flows, mappings, and integration ... This is a fully remote position; candidates must be based in regions that align with the Pacific ...

Segment Data Officer - 3

Minneapolis, MN · On-site +1

$125K - $255K/yr

Accountable for managing the prioritization and analytics-related issues and needs. * Owns approval ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Analyst information

See Savage, MN salary details

$36.3K

$88.2K

$145.1K

How much do remote data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data analyst in Savage, MN is $88,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $103,500.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

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.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

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

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

What are popular job titles related to Remote Data Analyst jobs in Savage, MN?

For Remote Data Analyst jobs in Savage, MN, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Remote Data Analyst job openings in Savage, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $88,152 per year, or $42.4 per hour.

Sr Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Posted 8 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together

 

We are seeking a highly analytical and innovative Senior Data Scientist to join a strategic enterprise program focused on transforming complex business processes through advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML). This role combines deep data science expertise with solid business acumen to uncover hidden patterns, identify opportunities that are not readily visible through traditional analysis, and deliver actionable recommendations that drive measurable business outcomes. The successful candidate will leverage statistical modeling, machine learning, predictive analytics, and modern AI techniques to solve complex business challenges, optimize operational processes, and design scalable decision-support solutions across the enterprise.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.  

 

Primary Responsibilities: 

  • Design, develop, and deploy AI-powered solutions to address complex business challenges, collaborating with research, engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities
  • Analyze large, complex, and diverse datasets to identify trends, anomalies, hidden relationships, and previously undiscovered insights across the enterprise
  • Develop predictive, prescriptive, and optimization models to improve business performance and operational effectiveness using machine learning, deep learning, NLP, and generative AI capabilities
  • Formulate hypotheses, conduct experiments, and validate findings using rigorous analytical and statistical methodologies
  • Evaluate emerging AI/ML trends to inform solution design, strategic innovation, and continuous improvement across enterprise applications
  • Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Partner with business, product, operations, and technology teams to translate complex analytical findings into clear business recommendations and executive-level insights
  • Design and implement scalable analytical frameworks, reusable models, and decision-support solutions
  • Mentor junior data scientists and analysts on analytical techniques, experimental design, and model development 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications: 

  • 5 years of experience in Data Science, Advanced Analytics, Machine Learning, or AI-related roles
  • 3 years of experience programming in Python, R, or SQL for data modeling and analysis
  • 3 years of experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
  • 2 years of experience working with large-scale structured and unstructured enterprise datasets
  • 2 years of experience with experimental design, hypothesis testing, optimization, and predictive modeling

 

Preferred Qualifications:  

  • Experience applying Generative AI, Large Language Models (LLMs), Agentic AI, or advanced AI techniques to business problems
  • Experience building decision intelligence solutions that influence operational or strategic outcomes
  • Knowledge of cloud-based analytics platforms and modern data ecosystems
  • Experience developing recommendation engines, pattern detection frameworks, anomaly detection models, or intelligent automation solutions
  • Experience operating in highly regulated, data-intensive enterprise environments

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy  

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

 

 

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.      

 

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  


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