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Remote Python Analyst Jobs in Orem, UT (NOW HIRING)

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lehi UT (Lehi 1 A few times per week or Fully Remote) Duration: 11 months (possible extension) We ... Strong working knowledge and hands-on familiarity with tools such as Snowflake, SQL, Python, and ...

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Strong proficiency in SQL and Python for reporting, analysis, and automation. * Experience building ...

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... In this role, you will build and maintain our Python and Pytest framework while proactively ...

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... In this role, you will build and maintain our Python and Pytest framework while proactively ...

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Remote Python Analyst information

See Orem, UT salary details

$29.6K

$71.8K

$118.2K

How much do remote python analyst jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote python analyst in Orem, UT is $71,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Analyst, you need strong programming skills in Python, experience with data analysis, and typically a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Jupyter Notebooks, pandas, NumPy, SQL databases, and data visualization libraries, as well as version control systems like Git, is essential. Excellent problem-solving abilities, self-motivation, and clear communication skills help you excel in a remote environment and effectively collaborate with teams. These skills and qualities enable accurate data-driven insights and ensure productivity while working independently from any location.

How does a Remote Python Analyst typically collaborate with team members across different time zones?

As a Remote Python Analyst, effective collaboration often involves using communication tools such as Slack, Zoom, and project management platforms to stay connected with team members in various locations. You'll likely participate in regular virtual meetings, share code through platforms like GitHub, and provide asynchronous updates to accommodate different time zones. Flexibility and proactive communication are essential for ensuring projects stay on track and that everyone is aligned, despite not working in the same physical space.

What is a Remote Python Analyst?

A Remote Python Analyst is a professional who works primarily with the Python programming language to analyze data, automate processes, and develop software solutions, all while working from a remote location. Their responsibilities often include data analysis, scripting, building data pipelines, and creating reports or dashboards. They collaborate with teams virtually and can work for companies in various industries such as finance, healthcare, technology, or consulting. The remote aspect allows for flexibility in work location and often requires strong communication and self-management skills.

What is the difference between Remote Python Analyst vs Data Analyst?

AspectRemote Python AnalystData Analyst
Required SkillsPython programming, data analysis, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data analysis coursesExcel, SQL certifications, Tableau
Work EnvironmentRemote, tech-focused companiesRemote or on-site, various industries
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Remote Python Analysts focus on coding and scripting with Python to analyze data, often in tech-driven industries. Data Analysts use a broader set of tools like Excel and SQL for data interpretation across diverse sectors. While both roles involve data analysis, the Python Analyst emphasizes programming skills, making it ideal for those with coding expertise seeking remote opportunities in specialized fields.

What job categories do people searching Remote Python Analyst jobs in Orem, UT look for? The top searched job categories for Remote Python Analyst jobs in Orem, UT are:
What cities near Orem, UT are hiring for Remote Python Analyst jobs? Cities near Orem, UT with the most Remote Python Analyst job openings:
Senior Data Analyst - Remote

Senior Data Analyst - Remote

UnitedHealth Group

Draper, UT • On-site, Remote

$80.40K - $101.40K/yr

Full-time

Retirement

Posted 25 days ago


UnitedHealth Group rating

7.5

Company rating: 7.5 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

218th of 864 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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