2

Remote Data Processing Jobs in Minneapolis, MN (NOW HIRING)

Data Analyst II, Intelligence Enablement role supports the evolution of Optum from traditional analytics and reporting toward AI-powered intelligence, automation, and decision support. This role is ...

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

  • Medical

  • Retirement

  • PTO

Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications ... Supportive and flexible working environment, allowing remote work from anywhere.

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is remote in Minnesota and will need to be within a commutable distance to Minneapolis. Data Analyst I Essential Functions * Process report or data requests from various departments ...

Strategic Data Partnership Manager

Eden Prairie, MN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... Enjoy building processes and playbooks rather than simply following established ones. * View ...

Process Engineer

Minneapolis, MN · On-site +1

$125K - $140K/yr

Expert user in Excel for data management and analysis. * Experience with BioWin or other biological process design tools. * Experience working with remote teams is highly desirable. * Ability to ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query ...

Showing results 21-40

Remote Data Processing information

See Minneapolis, MN salary details

$12

$21

$36

How much do remote data processing jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote data processing in Minneapolis, MN is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.32 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a remote data processing specialist?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are the most commonly searched types of Data Processing jobs in Minneapolis, MN?

The most popular types of Data Processing jobs in Minneapolis, MN are:

What job categories do people searching Remote Data Processing jobs in Minneapolis, MN look for?

The top searched job categories for Remote Data Processing jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Remote Data Processing jobs?

Cities near Minneapolis, MN with the most Remote Data Processing job openings:

Infographic showing various Remote Data Processing job openings in Minneapolis, MN as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $43,999 per year, or $21.2 per hour.

Data Analyst 2 - Remote

UnitedHealth Group

Plymouth, MN • Remote

Full-time

Retirement

Posted 29 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 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.

Data Analyst II, Intelligence Enablement role supports the evolution of Optum from traditional analytics and reporting toward AI-powered intelligence, automation, and decision support. This role is responsible for developing analytics assets, enabling self-service intelligence, supporting AI agents, and transforming business data into actionable insights that drive growth, retention, operational excellence, and business outcomes.

Working closely with AI, Databricks, Data Operations, Reporting & Rendering, Product, and business stakeholders, the analyst will help build the intelligence foundation that powers Genie, Copilot, AI agents, and future Autonomous Revenue Intelligence capabilities.
 

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Intelligence & Analytics
    • Develop and maintain curated Databricks datasets, metrics, and intelligence assets
    • Build and optimize SQL, Python, and analytical workflows supporting business intelligence initiatives
    • Analyze business, operational, customer, and financial data to identify trends, risks, opportunities, and actionable insights
    • Support development of Databricks silver and gold layer assets
    • Perform exploratory analysis to identify new business opportunities and operational improvements
  • AI & Agent Enablement
    • Support the development and testing of AI agents, including: 
    • Prepare and curate knowledge sources, prompts, metadata, and business context used by AI solutions
    • Evaluate and improve AI-generated insights, recommendations, and business outputs
    • Help identify new opportunities for automation and intelligent workflow orchestration
  • Self-Service Intelligence
    • Support Databricks Genie Spaces and Copilot-enabled analytics experiences
    • Develop semantic layers, business definitions, and reusable analytical assets
    • Promote data literacy and self-service analytics adoption among business users
    • Ensure business logic, calculations, and metrics remain accurate, governed, and trusted
  • Business Partnership
    • Partner with stakeholders to understand business objectives and translate them into analytical solutions
    • Support product, operations, client management, sales, and strategy teams with data-driven recommendations
    • Assist in the development of executive-ready presentations and analytical narratives
    • Participate in opportunity sizing, business case development, and strategic initiatives
  • Governance & Quality
    • Ensure compliance with enterprise data governance, privacy, and security requirements
    • Maintain documentation, lineage, metadata, and business definitions
    • Support certification and quality validation of analytical assets, dashboards, and AI-generated outputs
    • Promote consistent use of approved metrics and enterprise standards

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 experience of Analytics & Data in SQL, Databricks, Data Modeling, Business Intelligence, Statistical Analysis, Data Analysis and Problem Solving
  • 5 years of experience Data of Management & Governance in Data Governance, Data Quality, Business Metadata and Documentation, Familiarity with Data Privacy and Security Standards
  • 1 years of experience AI & Automation with familiarity with Generative AI technologies, experience using AI-powered analytics tools (Copilot, Genie, ChatGPT, etc.), Basic Prompt Engineering and understanding of AI-assisted workflows and automation concepts

Preferred Qualifications:

  • Analytics & Data
    • Python
    • Machine Learning Fundamentals
    • Feature Engineering
    • Advanced Statistical Methods
  • AI & Intelligent Systems
    • Databricks Genie
    • Microsoft Copilot
    • Azure OpenAI
    • AI Agent Concepts
    • Generative AI Applications
    • Agentic Workflow Design
  • Data Management & Architecture
    • Unity Catalog
    • Metadata Management
    • Data Lineage
    • Data Product Management
    • Enterprise Data Architecture Concepts
       

*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 $72,800 - $130,000 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