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Senior Data Analyst Remote Jobs in Utah (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 ...

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Work with senior leaders and other stakeholders within various departments at Lucid * Identify and ...

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 ...

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

Ability to support simultaneous data analysis requests of varying size and scope. Ability to run ... May support management or senior analysts in the development of modeling and reporting tools or ...

Senior Conflicts Analyst

Salt Lake City, UT · On-site +1

$100K - $120K/yr

... data projects and suggest system improvements to enhance workflow and efficiency. * Serve as a ... Hybrid and remote-friendly arrangements available. * Professional Environment: Collaborative ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

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Senior Data Analyst Remote information

See Utah salary details

$50.1K

$90.3K

$123.4K

How much do senior data analyst remote jobs pay per year?

As of Aug 1, 2026, the average yearly pay for senior data analyst remote in Utah is $90,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a Senior Data Analyst Remote job?

A Senior Data Analyst Remote job involves analyzing complex datasets to provide insights that drive business decisions, all while working from a remote location. Responsibilities typically include data modeling, visualization, and collaborating with cross-functional teams to optimize strategies. Senior analysts are expected to have advanced analytical skills, experience with SQL, Python, or R, and familiarity with business intelligence tools. They also help streamline data processes and ensure data accuracy for strategic planning. This role requires strong communication skills to present findings clearly to stakeholders.

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

To excel as a Senior Data Analyst Remote, you need advanced analytical skills, a solid background in statistics, and experience with large datasets, typically supported by a bachelor's or master's degree in a quantitative field. Expertise in SQL, Python or R, data visualization tools like Tableau or Power BI, and familiarity with cloud-based data platforms are commonly required, along with relevant certifications such as Google Data Analytics or Microsoft Certified Data Analyst. Excellent communication, problem-solving ability, and project management skills are highly valued in this remote role to ensure effective collaboration and stakeholder engagement. These competencies are essential for delivering actionable insights, driving business decisions, and thriving within distributed, cross-functional teams.

What are the typical challenges faced by Senior Data Analysts working remotely, and how can they be overcome?

Senior Data Analysts working remotely often face challenges related to effective cross-team communication, accessing data securely, and maintaining alignment with business goals. Proactively scheduling regular virtual check-ins, using collaborative project management tools, and ensuring access to up-to-date documentation can help bridge gaps and keep work on track. To overcome data access and security issues, it’s important to follow organizational protocols for secure connection to data sources and encrypted communication. Staying connected with stakeholders through clear, concise reporting also supports transparency and alignment. By embracing structured workflows and leveraging remote collaboration tools, remote Senior Data Analysts can stay productive and closely integrated with their teams.

What are the most commonly searched types of Senior Data Analyst jobs in Utah? The most popular types of Senior Data Analyst jobs in Utah are:
What cities in Utah are hiring for Senior Data Analyst Remote jobs? Cities in Utah with the most Senior Data Analyst Remote job openings:
Infographic showing various Senior Data Analyst Remote job openings in Utah as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $90,337 per year, or $43.4 per hour.

Senior Data Analyst - Remote

UnitedHealth Group

Draper, UT • On-site, Remote

$80K - $101K/yr

Full-time

Retirement

Re-posted 23 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

184th 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.    


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:

  • 5 years of experience in data analytics, with direct experience supporting Credit, Credit Risk, or Lending teams within a bank or financial services organization
  • 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
  • Advanced experience with Power BI, including data modeling, DAX, custom measures, and designing executive-ready dashboards
  • Advanced Excel skills, including pivot tables, Power Query, Power Pivot, complex formulas, and statistical or financial analysis
  • Hands-on experience developing, maintaining, and supporting SSRS reports in a production environment
  • Proven ability to validate data, reconcile across multiple source systems, and ensure high data quality and reporting accuracy
  • Solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights
  • 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 - $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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