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Statistical Analysis Jobs in Utah (NOW HIRING)

Experience with SPC and other statistical analysis methods (required). * Experience with statistical analysis software like JMP, R, or Minitab (preferred). Education and Experience: * Associate ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Biostatistician

Saint George, UT · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Biostatistician

West Jordan, UT · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Biostatistician

Provo, UT · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Biostatistician

Salt Lake City, UT · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Perform statistical analyses including, but not limited to: * Crosstabulations * Correlations * Regressions * Random forests * Additional predictive and exploratory models * Produce: * Contribute ...

Showing results 21-40

Statistical Analysis information

See Utah salary details

$27.3K

$64.1K

$107K

How much do statistical analysis jobs pay per year?

As of Sep 10, 2026, the average yearly pay for statistical analysis in Utah is $64,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $73,700.00 per year, depending on experience, location, and employer.

What is statistical analysis?

Statistical analysis is the process of collecting, exploring, and interpreting large amounts of data to discover underlying patterns and trends. It involves applying mathematical techniques to summarize data, test hypotheses, and make informed decisions. Professionals use statistical analysis in fields like business, healthcare, social sciences, and engineering to support evidence-based conclusions and predict future outcomes. Common methods include descriptive statistics, inferential statistics, regression analysis, and hypothesis testing.

How does a statistical analyst typically collaborate with other departments within an organization?

Statistical Analysts regularly work with teams such as marketing, finance, product development, and operations to interpret data and provide actionable insights. They often participate in cross-functional meetings to understand departmental goals and ensure that their analyses align with business objectives. Effective communication of complex statistical findings to non-technical colleagues is a key part of the role, as is adapting analysis techniques to suit different project needs. This collaborative environment fosters both professional growth and a deeper understanding of the broader organization.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a solid background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or data science. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present complex data clearly. These skills ensure that analyses are accurate, actionable, and effectively support decision-making in various industries.

What is the difference between Statistical Analysis vs Data Analyst?

AspectStatistical AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or SPSSDegree in Data Science, Statistics, or related; similar certifications often preferred
Work EnvironmentResearch labs, academic institutions, or industries focusing on data modelingBusiness settings, tech companies, or marketing firms analyzing data for insights
Employer & Industry UsageUsed across academia, healthcare, finance for in-depth data modelingCommon in corporate, retail, and tech sectors for reporting and visualization

While both roles involve working with data, Statistical Analysis focuses on developing and applying statistical models to interpret data, often requiring advanced statistical knowledge. Data Analysts primarily interpret data to generate reports and insights for business decisions. Both roles share similar credentials but differ in scope and application.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher compensation.

What cities in Utah are hiring for Statistical Analysis jobs?

Cities in Utah with the most Statistical Analysis job openings:

Infographic showing various Statistical Analysis job openings in Utah as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $64,136 per year, or $30.8 per hour.

Senior Analyst, Credit Operations Modeling

Draper, UT • On-site

$85K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Synchrony Financial rating

9.0

Company rating: 9.0 out of 10

Based on 52 frontline employees who took The Breakroom Quiz


Job description

Role Summary/Purpose:

Synchrony's Credit and Capital Management group is looking for a data scientist / credit risk modeling professional experienced with executing, maintaining and developing models under the relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, DFAST). This role is part of Credit and Capital Management, in the Reserves & Loss forecasting team. The role requires demonstrated expertise with data, statistical analysis and model development, as well as programming skills (Python/Pandas, Spark, Hadoop, SQL, Linux).

The primary focus of this role is on the quarterly reserve development process, as well as planning sessions involving loss forecast and reserve estimate projections. As lead analyst, the role is responsible for executing critical credit estimation models on a quarterly basis, providing analytical input to development of estimates of Credit and Fraud Losses by executing complex statistical, trend-based models with forward looking features.This role analyses trends and drivers of changes across the entire Synchrony portfolio and all products. In addition, robust collateral is required to be produced in support of process risk controls and related documentation as part of effective governance, as well as internal and external review.

The lead analyst will collaborate across different functions in Credit & Capital Management, with IT and model development to manage model enhancements and big data processing.

The person will use their model knowledge, business analysis and process experience to ensure business intent is matched with sound estimates, and communicate with peers and functional leaders, as well as document assumptions and methods to meet accounting rules and model risk management guidelines.

Essential Responsibilities:

  • Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL, as well as allied quantitative estimates such as recoveries and scenario management and stress testing
  • Maintain model data input monitoring, production controls and output analytics including results analysis along with robust documentation of key facets
  • Support quarterly review process and quarter closing activities, as well as contribute to effective process controls as peer reviewer
  • Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning
  • Drive understanding of drivers and providing narrative support for the assumptions, rationale, and projections to model owners and sponsors
  • Assist with responding to model validation, regulatory or other oversight requests, including exam findings or issues. Adhere to and follow model governance standards
  • Support the development of new models or enhancements to existing models
  • Aid management of models through their lifecycle, from development phase through to implementation into production and outline enhancements for evaluation and future model releases. Meet project timelines, engage in ongoing analysis, find performance thresholds, manage model version control, performance assessments, seek out opportunities for process and model improvements, collaborate on model re-calibrations, and re-fits when business dynamics change
  • Collaborate with other cross functional teams – Forecasting an, Reserve and Stress Testing/Capital Management teams, Model Development, Data Governance, Finance, Collections and Controllership
  • Perform other duties and/or special projects as assigned

Qualifications/Requirements:

  • Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 5+ years of experience in Programming / Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience or in lieu of degree 9+ years of experience in Risk, Credit, Finance, Accounting or Consumer Lending
  • 5+ years’ experience demonstrating strong programing skills in SQL, Python, Spark with. Proven hands-on experience utilizing using SQL, Python, Spark, Linux, to perform statistical analysis, query relational databases, and manage large amounts of data
  • Ability and flexibility to travel for business as required

Desired Characteristics:

  • Excellent time management with ability to manage multiple competing initiatives and deliver results within deadlines with accuracy and attention to detail
  • Experience in process improvement, project management or change management
  • Familiarity with Model Governance trends/developments across the banking sector, especially as related to credit card or consumer lending (SR11-7)
  • Strong communication skills to facilitate complex discussions in productive and collaborative manner
  • Positive mindset under tight timelines and critical deliverables
  • Experience with Linux, HDFS and AWS to collaborate and operate in a cloud computing environment

Grade/Level: 09

The salary range for this position is 85,000.00 - 140,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. 

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older
  • You must have a high school diploma or equivalent
  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles.  Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles.  Employees, level 8 or greater, must have at least 18 months’ time in position before they can post.  All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Our Commitment:

When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. 

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627.   Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time

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Credit

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