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Manager 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 ... Create and maintain SSRS reports to support operational, regulatory, and management reporting needs ...

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 ...

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Build & Manage: Develop and maintain a centralized Cloud-Based Sales Ops Data Center, ensuring ...

May support management or senior analysts in the development of modeling and reporting tools or ... Analyze data quality, trends, and performance metrics by designing reports and dashboards to ...

New

Senior Conflicts Analyst

Salt Lake City, UT · On-site +1

$100K - $120K/yr

Database Management & Systems Maintenance: * Maintain and enhance accuracy of conflicts databases ... Hybrid and remote-friendly arrangements available. * Professional Environment: Collaborative ...

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Manager Senior Data Analyst Remote information

What is the difference between Manager Senior Data Analyst Remote vs Data Scientist?

AspectManager Senior Data Analyst RemoteData Scientist
Required CredentialsBachelor's or Master's in Data Analytics, Business, or related fields; experience in data analysis toolsBachelor's or Master's in Computer Science, Statistics, or related; often requires programming skills
Work EnvironmentRemote, collaborative with teams, focus on reporting and analysisRemote or on-site, research-focused, involves modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, tech companiesTech firms, research institutions, startups, and enterprises

The main difference is that Manager Senior Data Analysts focus on interpreting data, creating reports, and guiding teams, while Data Scientists develop models and algorithms to extract insights. Both roles often work remotely and require strong analytical skills, but Data Scientists typically have more programming and statistical expertise.

How does a Manager Senior Data Analyst typically balance hands-on analytics work with team leadership responsibilities in a remote setting?

As a Manager Senior Data Analyst working remotely, you can expect to split your time between guiding your team and performing advanced analytics tasks yourself. You'll often lead project planning, mentor junior analysts, and coordinate with cross-functional teams, all while ensuring data-driven solutions are delivered on schedule. Effective communication and regular virtual check-ins are essential for fostering collaboration and keeping projects on track. Balancing strategic oversight with hands-on analysis is key to success, and many organizations support this through clear goal-setting and flexible work hours.

What are the key skills and qualifications needed to thrive as a Manager Senior Data Analyst in a remote setting, and why are they important?

To thrive as a Manager Senior Data Analyst Remote, you need advanced data analysis skills, expertise in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with analytics tools such as SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and experience with cloud-based data systems are typically required. Strong leadership, problem-solving, and communication skills are essential, especially for managing remote teams and collaborating across departments. These skills ensure effective data-driven decision-making, efficient team management, and clear communication of insights in a distributed environment.

What does a Manager Senior Data Analyst do in a remote role?

A Manager Senior Data Analyst in a remote role leads data analysis projects and oversees a team of analysts to extract, interpret, and present insights from large datasets. They are responsible for setting analysis strategies, ensuring data quality, and communicating findings to stakeholders to inform business decisions. Working remotely, they utilize digital collaboration tools to manage their team and maintain clear communication. Their work often involves designing data models, developing KPIs, and supporting data-driven decision-making across the organization.
What are the most commonly searched types of Senior Data Analyst Remote jobs in Utah? The most popular types of Senior Data Analyst Remote jobs in Utah are:
What cities in Utah are hiring for Manager Senior Data Analyst Remote jobs? Cities in Utah with the most Manager Senior Data Analyst Remote job openings:
Infographic showing various Manager Senior Data Analyst Remote job openings in Utah as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Senior Data Analyst - Remote

UnitedHealth Group

Draper, UT • On-site, Remote

$80K - $101K/yr

Full-time

Retirement

Re-posted 22 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

185th of 885 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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