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Remote Data Analyst Jobs in Maple Grove, MN (NOW HIRING)

3M

Global Payroll Analyst

Saint Paul, MN · On-site +1

$95K - $116K/yr

Maintain payroll interfaces for remote stipends, Everyday Wins, and cash recognition programs. Data Analysis and Issue Resolution: Identify discrepancies, conduct troubleshooting, and resolve ...

3M

Global Payroll Analyst

Saint Paul, MN · On-site +1

$95K - $116K/yr

Maintain payroll interfaces for remote stipends, Everyday Wins, and cash recognition programs. Data Analysis and Issue Resolution: Identify discrepancies, conduct troubleshooting, and resolve ...

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 ...

DailyPay

Analyst I - Mission Control

Minneapolis, MN · Remote

$56K - $76K/yr

Manage and resolve Data Exchange related issues with high precision, performing deep-dive research ... Unlimited PTO * 401K with company match #BI-Remote #LI-Remote High-performing cultures aren't built ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Maple Grove, MN

Remote Data Analyst information

See Maple Grove, MN salary details

$34.8K

$84.6K

$139.3K

How much do remote data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data analyst in Maple Grove, MN is $84,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $99,300.00 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.
More about Remote Data Analyst jobs

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

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

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

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

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

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

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

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

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,619 per year, or $40.7 per hour.

Principal Data Engineering - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 6 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 888 rated healthcare providers

Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
The Principal Data Engineer is a senior individual contributor responsible for designing, building, and scaling enterprise data platforms and pipelines. This role emphasizes cloud based data architecture, data solutioning, and hands on development, supporting large scale data and analytics initiatives.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, 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:
  • Lead the design and implementation of cloud based data architectures and data solutions
  • Build, optimize, and maintain scalable data pipelines on GCP or Azure
  • Provide hands on technical leadership in data platform and solution architecture
  • Work across cloud and on prem environments to support enterprise data needs
  • Collaborate with engineering and analytics teams to ensure data reliability, performance, and scalability
  • Guide junior engineers through technical mentorship and solution design reviews
  • Leverage enterprise approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.
  • Ensure data quality, observability, lineage, and documentation (e.g., Great Expectations/DBT tests, Cloud Monitoring/Logging, Data Catalog)
  • Implement security, IAM, and compliance controls; manage access, encryption, and PII handling
  • Partner with Analytics/BI, Data Science, and Product teams to deliver trustworthy datasets and metrics
  • Troubleshoot and resolve data pipeline incidents, drive root cause analysis and preventive improvements
  • Contribute to data platform roadmaps, standards, and best practices

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:
  • 8+ years of experience in data engineering or related roles
  • Demonstrated experience designing and building data pipelines in enterprise environments
  • Proven solid hands on experience with cloud platforms (GCP preferred; AWS or Azure acceptable)
  • Experience with on prem and cloud based data architectures
  • Hands on experience with develop and optimize data models (databricks/snowflake or similar platform) and ELT/ETL workflows to support analytics and ML
  • Proven solid SQL and Python development skills for data processing and pipeline development, hands-on with Cloud Storage
  • Experience in Implementation of streaming and micro-batch solutions for near-real-time use cases
  • Demonstrated experience in Building CI/CD workflows for data pipelines and infrastructure-as-code using Terraform
  • Demonstrated solid understanding of data warehousing concepts, dimensional modeling, and ELT patterns
  • Experience with batch and streaming data processing at scale

Preferred Qualifications:
  • Experience supporting large scale analytics or data platforms
  • Demonstrated familiarity with multi cloud or hybrid architectures
  • Experience working in enterprise scale environments
  • Reside in Minnesota

*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 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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