2

Remote Data Analytics Project Manager Jobs in Minnesota

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

CIC Project Manager II

Minneapolis, MN · On-site +1

$70K - $140K/yr

Financial modeling of tax benefits and capital account analysis, sources and uses, capital stack ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Senior Project Manager

Eden Prairie, MN · On-site +1

$110K - $130K/hr

... and float analysis/resource leveling * Responsible for engineering related purchasing and ... Experience leading local and remote teams of engineers/technicians to provide control system ...

Project Manager Heraeus Medevio Location Fridley - Minnesota Permanent Full Time Position Summary ... Understanding of finance fundamentals and ability to utilize data to make project decisions and ...

next page

Showing results 1-20

Remote Data Analytics Project Manager information

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Project Manager, and why are they important?

To thrive as a Remote Data Analytics Project Manager, you need a solid background in data analytics, project management methodologies, and typically a bachelor's degree in a related field. Familiarity with analytics tools (like Tableau, Power BI), project management software (such as Jira or Asana), and certifications like PMP or Agile are highly beneficial. Exceptional communication, problem-solving, and leadership skills help coordinate remote teams and manage stakeholder expectations. These skills ensure that projects are delivered on time, data-driven insights are actionable, and teams remain aligned despite working remotely.

What is a Remote Data Analytics Project Manager?

A Remote Data Analytics Project Manager oversees data analytics projects while working from a remote location, often coordinating virtual teams and managing project timelines, resources, and deliverables. They bridge the gap between technical data teams and business stakeholders, ensuring that analytics solutions align with business goals. These professionals are responsible for project planning, risk management, communication, and quality assurance throughout the project lifecycle. Their role requires strong leadership, analytical skills, and proficiency with data analytics tools and project management methodologies.

How do Remote Data Analytics Project Managers effectively coordinate with distributed analytics teams?

Remote Data Analytics Project Managers rely on robust communication tools and clear project management processes to ensure all team members stay aligned, regardless of location. They frequently schedule virtual meetings, set up centralized dashboards for tracking progress, and use collaboration platforms to share updates and resolve issues quickly. Building strong relationships with data analysts, engineers, and stakeholders is key to anticipating challenges and maintaining transparency throughout the project lifecycle. This approach helps ensure deadlines are met and project goals are achieved, even in a remote environment.

What is the difference between Remote Data Analytics Project Manager vs Data Analyst?

AspectRemote Data Analytics Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; PMP or similar certificationsBachelor's in Statistics, Data Science, or related field; often no certification required
Work EnvironmentLeads projects, collaborates with teams remotely, manages timelinesAnalyzes data, creates reports, often works independently or in small teams remotely
Employer & Industry UsageTech, finance, healthcare companies managing data projects remotelyVarious industries, focusing on data analysis and reporting

The Remote Data Analytics Project Manager oversees data projects, coordinating teams and managing timelines, while Data Analysts focus on analyzing data and generating insights. Both roles often work remotely and require strong analytical skills, but project managers have additional responsibilities in leadership and project delivery.

What are popular job titles related to Remote Data Analytics Project Manager jobs in Minnesota? For Remote Data Analytics Project Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Project Manager jobs in Minnesota look for? The top searched job categories for Remote Data Analytics Project Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Analytics Project Manager jobs? Cities in Minnesota with the most Remote Data Analytics Project Manager job openings:
Infographic showing various Remote Data Analytics Project Manager job openings in Minnesota as of June 2026, with employment types broken down into 66% Full Time, 28% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Principal Data Analyst - Remote

Principal Data Analyst - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 3 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

187th of 875 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.
Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company. Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks.
  • Company thought leader
  • Functional SME
  • Broad business approach
  • Resource to senior leadership
  • Develops pioneering approaches to emerging industry trends

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:
  • Work with Lines of Business to identify opportunities for leveraging company data to drive business solutions
  • Inform and advise the clinical operation functions with empirical analyses that drive strategy with respect to key projects
  • Communicate complex analyses to Leaders across the organization effectively without getting bogged down in the details of the analysis. Present a clear story of these analyses in effective Executive presentations
  • Design and create data models for data stores, data marts, ETLs (Extract, Transform, and Load), and Data Integration jobs that acquire data from various sources
  • Mine and analyze data from a host of data sources to drive optimization and improvement of product development and business strategies
  • Focus on conducting analysis to distinguish patterns and recognize trends, performing normalization operations, and assuring data quality
  • Develop actionable insights and present recommendations for use across the company
  • Use business intelligence, data visualization, query, analytic, and statistical software to build and design solutions, perform analysis, and interpret data
  • Continue to adapt to changes based on emergence of business priorities, new technologies, and alternative sources of data
  • Self-motivated and demonstrates an innate ability to absorb new concepts, technical frameworks, programming paradigms while employing them creatively to solve complex analytical problems
  • Develop and manage project plans for delivery of large scale projects against timelines

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 data analysis experience and report development
  • Experience in Computer Science, Information Technology, Statistics or related field
  • Proficiency in programming languages or data/analytical tools to extract and analyze data (e.g., SQL, SAS, Snowflake, Python, R, AWS, Tableau, Power BI)
  • Proven solid presentation and communication skills
  • Proven interpersonal and relationship skills necessary to work with an integrated team of customers, product managers, project managers, developers, analysts, and quality engineers

*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.

What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom