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Remote Data Analytics Project Manager Jobs in Minnesota

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 ...

Facility Data Analyst

Saint Paul, MN · On-site +1

$56K - $85K/yr

This is a hybrid-remote position that can be based out of the Harris corporate headquarters in St ... Coursework or projects involving mechanical systems, thermodynamics, controls, or circuits

Facility Data Analyst

Rochester, MN · On-site +1

$56K - $85K/yr

This is a hybrid-remote position that can be based out of the Harris corporate headquarters in St ... Coursework or projects involving mechanical systems, thermodynamics, controls, or circuits

$70K - $80K/yr

Through integrated hardware, AI-driven analytics, and cloud-based evidence management software, we ... The actual offer will be based on the individual candidate. #LI-JM3 #LI-REMOTE Basic Requirements ...

This position is eligible for Mortenson's incentive plan. #LI-JN1 #LI-REMOTE Please make note ... data centers, healthcare, and more. We are builders at heart, working to ensure the built ...

... analysis, business process design or related experience. * 5+ years of supervisory or management ... Project management experience and skills to accurately complete detailed data assignments and to ...

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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 July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Principal AI Data Analyst- Remote

Principal AI Data Analyst- Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 7 days ago

New


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 884 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.  

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first approach. This role focuses on identifying impacted data at scale through automation, machine learning, and advanced analytics, while collaborating with cross functional teams including security, legal, privacy, and engineering.

This role plays a key part in building and evolving an AI enabled investigative data platform, leveraging modern data lake architectures, distributed processing, and production AI/ML pipelines to accelerate insight generation and decision making.

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:

  • Lead AI assisted analysis of data events and incident investigations using structured and unstructured data
  • Design and implement automated pipelines to ingest, normalize, deduplicate, enrich, and classify large scale datasets
  • Apply machine learning, entity resolution, and data fingerprinting techniques to identify impacted individuals and data elements
  • Build and maintain production analytics solutions using Python, PySpark, and Databricks
  • Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative speed, accuracy, and scalability
  • Secure, preserve, and validate data sources to maintain analytical integrity and evidentiary standards
  • Partner with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights
  • Create dashboards, visualizations, and analytical summaries for executive and technical stakeholders
  • Operate effectively in time sensitive environments while maintaining analytical rigor, objectivity, and confidentiality
  • Contribute to the evolution of Optum's AI and analytics capabilities within the cybersecurity and data protection space

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 6 years of equivalent professional experience
  • 5 years of experience in advanced data analytics, data science, or AI focused analytical roles
  • 5 years of experience developing, testing, and deploying production grade Python code
  • 3 years of experience with DevOps and CI/CD tooling (GitHub Actions, Docker, Kubernetes, Terraform)
  • 3 years of experience with distributed data processing using PySpark and Databricks
  • Proven experience working with data lake architectures and medallion schemas
  • Proven solid expertise in SQL, data modeling, and data integration
  • Proven ability to transform unstructured data (e.g., documents, images, OCR-derived content) into structured, enriched, and model-ready datasets

Preferred Qualifications:

  • Advanced degree in Data Science, Computer Science, or a related field
  • Hands on experience with machine learning, predictive analytics, and classification models
  • Experience delivering AI driven analytics within a cybersecurity or incident response environment
  • Experience deploying Generative AI solutions into production analytics workflows
  • Experience with entity resolution, MDM technologies, or identity matching
  • Experience building AI models for file classification, data fingerprinting, or anomaly detection
  • Demonstrated familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Demonstrated familiarity with eDiscovery platforms and large scale data investigations
  • Proven solid understanding of modern analytics platforms and scalable data architectures

*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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