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Remote Data Mining Jobs in Minnesota (NOW HIRING)

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Remote Data Mining information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do remote data mining jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data mining in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

What is a Remote Data Mining job?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

What are the key skills and qualifications needed to thrive in the Remote Data Mining position, and why are they important?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are some common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
What are the most commonly searched types of Data Mining jobs in Minnesota? The most popular types of Data Mining jobs in Minnesota are:
What job categories do people searching Remote Data Mining jobs in Minnesota look for? The top searched job categories for Remote Data Mining jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Mining jobs? Cities in Minnesota with the most Remote Data Mining job openings:
Infographic showing various Remote Data Mining job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.
Senior Data Analyst - Fraud, Waste, and Abuse - Remote

Senior Data Analyst - Fraud, Waste, and Abuse - Remote

UnitedHealth Group

Eden Prairie, MN • Remote

$91K - $163K/yr

Full-time

Medical, Life, Retirement

Posted 11 days ago


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

OptumInsightis 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, andultimately consumers. Our deepexpertisein the industry and innovative technology empower us to help organizations reduce costs while improving risk management,qualityand revenue growth. Ready to help us deliver results that improve lives?Join us to startCaring. Connecting. Growing together.


The Fraud, Waste, and Abuse (FWA) Analyst plays a critical role in safeguarding state Medicaid programs by identifying, analyzing, and preventing fraudulent activities within Medicaid claims. You will be working with a State Government Product and Data Mining team. Your primary responsibility will be to assist in the development and deployment of algorithms designed to support program integrity across various platforms and states plus support our fraud and abuse detection product and services.


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:

  • Write simple to complex SQL statements to extract data for client inquiry and research
  • Utilize production reports to perform research and assess quality of overall data
  • Analyze and interpret data to identify FWA trends and patterns within claims data
  • Applies creative and analytical thinking to uncover and resolve complex fraud, waste, and abuse patterns
  • Engage with clients to triage and manage incoming operational inquiries and tasks 
  • Identifies innovative approaches to resolve non-standard problems and deliver effective outcomes
  • Interface professionally with data engineers, software engineers and other development teams
  • Troubleshoot client operational issues quickly and comprehensively
  • Support, train and mentor fellow analysts and developers 
  • Influences and provides input to improvement of operational processes 
  • Work is self-directed, less structured, more complex issues
  • Function well within a matrix organization (E.g. - supporting multiple leaders)
  • Proficient in research, interpreting, and analyzing diverse and complex data, and assessing data quality
  • Proficiency with excel & visualization tools
  • Intermediate to advanced computer skills consisting of Teams, Microsoft Excel, Outlook, Word, and Power Point


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 writing advanced SQL queries
  • 5 years of fraud, waste and abuse data mining experience 
  • 5 years of intermediate to advanced proficiency in Microsoft Excel, Word, Teams, PowerPoint, and Outlook
  • 4 years of data analysis experience working with database structures 
  • 4 years of healthcare claims experience


Preferred Qualifications:

  • Industry certifications: Certified Professional Coder (CPC) or Certified Fraud Examiner (CFE) 
  • Experience with statistical analysis of data
  • Experience with Rally
  • Experience with data visualization tools and report interpretation
  • Knowledge of Medicaid policy and real-life fraud, waste, abuse schemes
  • Knowledge of healthcare claim adjudication systems


*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 - $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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