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Remote Data Entry Analyst Jobs in Murray, UT (NOW HIRING)

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation * Develop, optimize, and maintain ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Senior Data Analyst Inside Real Estate is a fast-growing, independently-owned real estate software ... Potential to work in a remote setting; * Exciting/energetic work environment and fun, creative ...

Product Data Analyst

Salt Lake City, UT · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Strong analytical and organizational skills, with attention to detail in data entry and monitoring ... S.-based remote position. Candidates must physically reside in the United States and be legally ...

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Remote Data Entry Analyst information

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How much do remote data entry analyst jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote data entry analyst in Murray, UT is $30.92, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $34.52 per hour, depending on experience, location, and employer.

What is a Remote Data Entry Analyst job?

A Remote Data Entry Analyst is responsible for inputting, updating, and managing data in digital systems while working from a remote location. They ensure accuracy, consistency, and completeness of data, often using spreadsheets, databases, or specialized software. This role requires strong attention to detail, typing proficiency, and the ability to follow data management procedures. Analysts may work with financial, healthcare, customer, or product-related data, depending on the employer. Effective communication and time management skills are essential for meeting deadlines and ensuring data integrity.

What are some typical challenges faced by Remote Data Entry Analysts, and how can they be managed?

Remote Data Entry Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and staying connected with team members from a distance. To overcome these, it's important to establish a structured work schedule, take regular short breaks to maintain productivity, and leverage collaboration tools like Slack, Zoom, or project management platforms to stay in sync with colleagues. Setting clear daily or weekly goals can also help keep you motivated and on track. Proactively reaching out for feedback and assistance ensures that you remain integrated with your team and can resolve any issues promptly.

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

To thrive as a Remote Data Entry Analyst, you need exceptional attention to detail, fast and accurate typing skills, and a solid grasp of data management concepts, often demonstrated by a high school diploma or equivalent. Proficiency with data entry software such as Microsoft Excel, Google Sheets, and enterprise databases (like Salesforce or SAP) is commonly required, and knowledge of basic data security protocols is beneficial. Strong self-motivation, time management, and clear written communication set standout candidates apart in remote settings. These abilities ensure that data is accurately processed, deadlines are consistently met, and communication remains seamless despite working remotely.

What are popular job titles related to Remote Data Entry Analyst jobs in Murray, UT? For Remote Data Entry Analyst jobs in Murray, UT, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Analyst jobs in Murray, UT look for? The top searched job categories for Remote Data Entry Analyst jobs in Murray, UT are:
What cities near Murray, UT are hiring for Remote Data Entry Analyst jobs? Cities near Murray, UT with the most Remote Data Entry Analyst job openings:
Infographic showing various Remote Data Entry Analyst job openings in Murray, UT as of June 2026, with employment types broken down into 71% Full Time, 13% Part Time, 3% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $64,310 per year, or $30.9 per hour.
Senior Data Analyst - Remote

Senior Data Analyst - Remote

UnitedHealth Group

Draper, UT • On-site, Remote

$80K - $101K/yr

Full-time

Retirement

Posted 5 days ago


UnitedHealth Group rating

7.5

Company rating: 7.5 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

223rd of 872 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.    

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:

  • Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation
  • Develop, optimize, and maintain complex SQL queries to extract, transform, and analyze large volumes of financial and credit data from enterprise data warehouses
  • Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency
  • Design, build, and support interactive dashboards and reports in Power BI to deliver clear, actionable insights to Credit leadership and business stakeholders
  • Create and maintain SSRS reports to support operational, regulatory, and management reporting needs, ensuring accuracy, consistency, and timeliness
  • Perform advanced analysis using Excel, including pivot tables, Power Query, Power Pivot, and complex formulas, to support ad hoc requests and deep-dive investigations
  • Analyze credit metrics such as delinquency, roll rates, charge-offs, recoveries, exposure, and vintage performance to identify trends, risks, and opportunities
  • Partner closely with Credit Risk, Underwriting, Finance, and Compliance teams to ensure reporting aligns with business rules, policies, and regulatory expectations
  • Validate data integrity and reconcile results across multiple systems to ensure reporting accuracy and reliability
  • Translate complex analytical findings into clear, concise insights and recommendations tailored to both technical and non-technical audiences
  • Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the Credit organization
  • Mentor junior analysts and contribute to the development of best practices for SQL, reporting standards, and analytical methodologies
  • Ensure adherence to data governance, security, and regulatory requirements specific to banking and credit data

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 in Data Analytics, Finance, Economics, Statistics, Information Systems, or a related field, or equivalent practical experience
  • 5 years of experience in data analytics, with direct experience supporting Credit, Credit Risk, or Lending teams within a bank or financial services organization
  • Advanced experience with Power BI, including data modeling, DAX, custom measures, and designing executive-ready dashboards
  • Hands-on experience developing, maintaining, and supporting SSRS reports in a production environment
  • Solid working knowledge of credit concepts, including delinquency, charge-offs, recoveries, exposure, vintages, utilization, and portfolio performance
  • Advanced Python proficiency, with hands-on experience using libraries such as pandas, NumPy, and related analytical packages for data manipulation, validation, automation, and large-scale analysis; experience building reusable scripts, analytical frameworks, or pipelines is highly valued
  • Expert-level proficiency in SQL, with experience writing complex joins, CTEs, subqueries, window functions, and performance-optimized queries against large datasets
  • Proven advanced Excel skills, including pivot tables, Power Query, Power Pivot, complex formulas, and statistical or financial analysis
  • Proven ability to validate data, reconcile across multiple source systems, and ensure high data quality and reporting accuracy
  • Proven solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights
  • Proven excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders

Preferred Qualifications:

  • Experience working with consumer or commercial lending products (e.g., credit cards, auto loans, personal loans, mortgages, or commercial loans)
  • Experience working with large enterprise data warehouses and financial systems
  • Experience building automated or self-service reporting solutions for business users
  • Experience leveraging Python for automation, process optimization, or advanced analytics (e.g., trend analysis, scenario analysis, or custom performance monitoring)
  • Experience developing, validating, or deploying analytical or statistical models using Python, including feature engineering, model evaluation, and performance monitoring in a financial or risk analytics context
  • Experience supporting senior leadership with executive-level reporting and insights
  • Familiarity with banking regulatory and risk frameworks (e.g., CECL, stress testing, portfolio monitoring, audit support)
  • Demonstrated ability to mentor junior analysts and establish analytics best practices

*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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