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

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Remote Data Analyst information

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$35.8K

$87K

$143.2K

How much do remote data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote data analyst in Buffalo, MN is $87,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $102,100.00 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 Buffalo, MN?

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

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

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

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

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

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

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

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Buffalo, 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 $87,003 per year, or $41.8 per hour.

Lead Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 24 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks.
Working in office if based in MSP or DC
Primary Responsibilities:
  • Designing and implementing ML models
  • Creating custom embeddings
  • Building RAG pipelines
  • Implementing vector databases
  • Developing agentic workflows with LangChain
  • Integrating AI into enterprise applications for Claims Payment Integrity (PI)
  • The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases
  • Contribute to experimentation with novel ML and Generative AI architectures
  • Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
  • Support Retrieval-Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
  • Help design and implement AI-powered enterprise applications
  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
  • Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
  • Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
  • Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
  • Contribute to skill development for engineers and interns in AI/LLM techniques
  • Comply with company policies, procedures, and directives

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:
  • Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related
  • 5+ years of experience as a Data Scientist
  • 5+ years of relevant experience, including strong ML end to end model development (data prep → feature creation → training → evaluation)
  • 5+ years of experience with Python, Scala, SQL
  • 3+ years of Databricks, Spark
  • 2+ years of experience with LLM & GenAI Skills:
    • Creating custom embedding models
    • Building RAG pipelines
    • Vector DBs & semantic search
    • Using LangChain for agentic workflows (tools, agents, memory)
    • Experience with OpenAI/Azure OpenAI APIs
    • Experience with Azure cloud for compute, security, and resource management
    • CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
    • Excellent communication and partnership skills
  • Experience with Actuarial, Risk and Forecasting Models

Preferred Qualifications:
  • Experience with healthcare claims data
  • Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools
  • Demonstrated problem-solving, and analytical thinking skills
  • Demonstrated organizational skills with ability to be flexible and work with ambiguity

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 $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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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