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Senior Python Data Analysis Jobs in Orem, 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 ... Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation ...

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 ... Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation ...

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

New

Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. * Execute SQL queries for database retrieval, data manipulation, and integration tasks. * Assist in ...

New

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Demonstrated mastery of programming skills in Python or R * Experience with data visualization ...

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Demonstrated mastery of programming skills in Python or R * Experience with data visualization ...

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Collaborate with data analysts, data scientists, ML engineers, software engineers, and business ... Design, develop, and maintain scalable data ingestion and transformation pipelines using Python ...

Tableau; scripting languages including T-SQL and Python; SQL syntax for multiple databases; Jira ... S. healthcare claims data; big data analysis techniques, including Pig, HDFS, and Spark; using ...

New

Advanced SQL skills and/or knowledge with Python or R for data analysis and automation * Experience in Guidewire or other modern policy administration systems * Experience working with different ...

Partner with business users, analysts, BI developers, and senior data team members to turn business ... Experience with Python, data quality testing, version control, CI/CD, or other practices that ...

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Senior Python Data Analysis information

See Orem, UT salary details

$47.8K

$123.4K

$169.5K

How much do senior python data analysis jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior python data analysis in Orem, UT is $123,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $142,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Orem, UT? The most popular types of Python Data Analysis jobs in Orem, UT are:
What are popular job titles related to Senior Python Data Analysis jobs in Orem, UT? For Senior Python Data Analysis jobs in Orem, UT, the most frequently searched job titles are:
Infographic showing various Senior Python Data Analysis job openings in Orem, UT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $123,429 per year, or $59.3 per hour.
Senior Data Analyst - Remote

Senior Data Analyst - Remote

UnitedHealth Group

Draper, UT • On-site, Remote

$80K - $101K/yr

Full-time

Retirement

Re-posted 5 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 882 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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