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Remote Insurance Data Analytics Jobs in Minnesota

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

Job Title Commercial Insurance Analyst, Claims Insights - Remote Requisition Number R7770 ... Support the development of AIenabled and automated analytics capabilities * Leverage Industry data ...

Prin AI & Analytics Data Architect

Shakopee, MN · On-site

$68.25 - $87.75/hr

Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle ... insurance, mental health coaching, virtual fitness programs, paid personal time off plus 12 paid ...

$85K - $112K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

Manager of Analytics

Saint Cloud, MN · Remote

$114K - $172K/yr

... of data analytics to solve problems and find opportunities for continuous improvement. Schedule: * Full-time 80 hours every 2 weeks * Monday-Friday 8a-5p * Majority remote | Occasional need for ...

Manager of Analytics

Saint Cloud, MN · Remote

$114K - $172K/yr

... of data analytics to solve problems and find opportunities for continuous improvement. Schedule: * Full-time 80 hours every 2 weeks * Monday-Friday 8a-5p * Majority remote | Occasional need for ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

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Remote Insurance Data Analytics information

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

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

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are the most commonly searched types of Insurance Data Analytics jobs in Minnesota? The most popular types of Insurance Data Analytics jobs in Minnesota are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Minnesota? For Remote Insurance Data Analytics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Minnesota look for? The top searched job categories for Remote Insurance Data Analytics jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Insurance Data Analytics jobs? Cities in Minnesota with the most Remote Insurance Data Analytics job openings:
Senior Data Analytics Engineer - Remote

Senior Data Analytics Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Posted 6 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

189th of 875 rated healthcare providers


Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
The Fraud Retrospective Product provides analytic application development and support and consulting for Optum Payment Integrity. Our analytics team works with our business partners to support data ingestion and analytic processes identifying potential fraudulent activity.
Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activities across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product road maps.
Our Senior Software Engineer position will develop new analytics, enhance existing analytics, and maintain and improve the applications that support these analytics. Additionally, this position will have the opportunity to conduct analysis research and consulting for new project initiatives across the portfolio the team supports. Currently most analytics are written in SAS executing in a SAS Grid / Unix environment, but the team is transforming these analytics leveraging open-source tools like Azure, Python, Scala, Spark.
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:
  • Provide realistic effort estimates and project timelines for development and support projects
  • Interpret business requirements and functional specifications and create technical design and technical specifications documents
  • Develop analytic processes following existing standard structures and macros. Develop for a production environment
  • Conduct data extraction and research studies that may include analyzing, reviewing, trending, and presenting information, based on provided specifications, to support adhoc data request
  • Work with business engagement leaders and technical analysts to develop new and modify existing process documentation and templates
  • Conduct analyses of data elements within existing source data mart schemas
  • Analyze healthcare claims from different data sources and identify data integrity issues
  • Perform unit, system and regression testing for programs for quality assurance
  • Performance tuning of existing applications and analytics
  • Guide and advise developers to identify and improve the efficiency of current programming practices
  • Contribute to knowledge sharing, ideas and information relating to technologies and be a key technical expert within the team
  • Lead/Mentor new and existing team members
  • Continually identify deficiencies in production processes, propose enhancements, and implement those enhancements to increase productivity or reduce manual effort

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:
  • 3+ years of experience with SAS
  • 3+ years Relational Database experience - Oracle, Teradata, MySQL, and/or Snowflake
  • 3+ years of analysis, process, problem solving and critical thinking experience

Preferred Qualifications:
  • 1+ years of Healthcare Data Experience
  • UNIX
  • Azure, Python, Spark, or Databricks Experience
  • Experience with SQL
  • Experience with VS Code and GitHub Copilot for AI-assisted development
  • Experience with Agile/Scrum methodology

*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 $91,700 to $163,700 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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