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

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Use logs, error messages, and analytics to identify root causes (e.g., source system changes, bug in transformation logic) and implement fixes. Work closely with the other data engineer and data ...

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Use logs, error messages, and analytics to identify root causes (e.g., source system changes, bug in transformation logic) and implement fixes. Work closely with the other data engineer and data ...

Horizontal Talent

Sr. IT Analyst

Saint Paul, MN · On-site +1

$89K - $117K/yr

This remote Sr. IT Analyst role offers the opportunity to partner with stakeholders across ... Develop reports and perform data analysis to support operational decision-making * Lead or support ...

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Remote Data Analyst information

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$38K

$92.4K

$152.1K

How much do remote data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data analyst in Excelsior, MN is $92,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 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 Excelsior, MN?

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

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

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

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

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

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Excelsior, 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 $92,395 per year, or $44.4 per hour.

Principal Data Engineering - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 2 days ago

New

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.
As a Principal Data Engineer within the Enterprise Data & Analytics organization under the Chief Data Office, you will serve as a technical subject matter expert leading the architectural design, implementation, and optimization of scalable enterprise data solutions. In this role, you will partner closely with product owners, business stakeholders, and analytics teams to engineer reliable, end-to-end data pipelines across staging, integration, and consumption layers using technologies such as Azure Data Factory, Snowflake, DBT, Python, and metadata-driven frameworks. You will leverage approved AI tools to streamline routine engineering tasks and elevate operational efficiency, while mentoring engineering staff, establishing engineering best practices, and driving continuous technical innovation.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle
  • Design, develop, and maintain end-to-end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, DBT, Snowflake SQL, and metadata-driven frameworks
  • Develop and optimize high-performance SQL queries, views, and stored procedures to support analytics and reporting, and provide guidance to analytics team members on effective and cost-efficient usage
  • Architect, develop, and support data integration processes including batch file ingestion and automated extracts
  • Partner with internal stakeholders to understand business objectives, study requirements, and identify appropriate technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability
  • Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT pipeline design
  • Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and operational runbooks for data loads and extracts
  • Continuously evaluate and improve data quality, monitoring, and operational efficiencies
  • Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, developing business justifications, and executing secure, compliant data transfers
  • Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences ranging from technical teams to senior leadership
  • Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across the team
  • Demonstrate strong analytical and troubleshooting skills to diagnose pipeline failures, data anomalies, and performance bottlenecks
  • Utilize enterprise-approved AI tools to streamline workflows, automate repetitive tasks, and increase overall engineering productivity
  • Evaluate emerging tech trends to inform continuous improvement, strategic innovation, and efficient solution design

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 degree or equivalent work experience of 12+ years
  • 12+ years of hands-on data engineering experience, with an emphasis on enterprise data warehousing and ETL architectures
  • 8+ years of ETL development experience designing and building pipelines and dataflows using Azure Data Factory and/or Snowflake, including parameterized and metadata-driven designs
  • 8+ years of experience using Snowflake database, including creating data ingestion and extraction through stored procedures and leveraging Snowflake native utilities
  • 8+ years of experience with GitHub version control systems including code merges and cross-environment deployments using CI/CD pipelines
  • 8+ years of Python experience, particularly for data processing, orchestration, or validation workflows
  • 5+ years of experience designing or consuming APIs and service-based integrations (REST) within Snowflake or ADF-based workflows
  • 5+ years of scripting experience (Batch, PowerShell, or similar) to support automation and operational tasks specifically on the Azure platform
  • 5+ years of Experience processing both structured and semi-structured data (e.g., fixed-width files, delimited files, JSON, XML)
  • 5+ years of hands-on experience in React front-end development, including designing and implementing complex visualization components and dashboards.

Preferred Qualifications:
  • Hands-on expertise in Power BI, including DAX, semantic model design, and performance tuning
  • .NET development experience

*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 $112,700 - $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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