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Python Analyst Jobs in Utah (NOW HIRING)

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools ... Analytical thinking * Problem-solving * Data accuracy and precision * Ability to manage multiple ...

Danaher

Digital Analyst Internships

Logan, UT

$85K - $100.50K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Orem, UT

$85.60K - $101.30K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Salt Lake City, UT

$95.30K - $112.70K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

West Jordan, UT

$92K - $108.80K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Ogden, UT

$96.40K - $114.10K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Saxon Global

Data Governance Analyst

Lehi, UT · Hybrid

Data Governance Analyst Location: Lehi UT/ San Jose CA (Hybrid Onsite) Duration: 6+ Months Role ... Familiarity with programming languages such as Python or R. * Experience with cloud-based data ...

UnitedHealth Group

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

UnitedHealth Group

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

Purple Drive Technologies

Exposure to scripting languages (Python, Shell, or Perl). * Experience with incident tracking tools (ServiceNow, JIRA, Remedy, etc.). * Knowledge of ITIL processes (Incident, Change, Problem ...

FocusKPI

Marketing Operations Analyst

Ogden, UT

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

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How much do python analyst jobs pay per year?

As of Jun 2, 2026, the average yearly pay for python analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is a Python Analyst job?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

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

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

What are the typical daily responsibilities of a Python Analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

What does a Python analyst do?

A Python analyst uses Python programming to analyze data, develop models, and automate tasks. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or reports to support decision-making.
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Python Analyst jobs near you
CECL Analyst

CECL Analyst

First Electronic Bank

Salt Lake City, UT • On-site

Full-time

Posted 26 days ago

Job description

Job Type
Full-time
Description
At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB's engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.
The CECL Analyst supports the organization's Current Expected Credit Losses (CECL) modeling, reporting, and analysis. This role assists in collecting, validating, and analyzing loan portfolio data to support allowance calculations, risk assessments, regulatory reporting, and management presentations. The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling.
What You'll Do:
  • CECL Data & Modeling Support
  • Assist with preparing and validating monthly/quarterly CECL dataset inputs, ensuring accuracy and completeness.
  • Support the execution of CECL models, including probability of default (PD), loss given default (LGD), and prepayment models.
  • WARM methodology and Static Pool/Vintage Loss analysis.
  • Help maintain model documentation and version control.
  • Analysis & Reporting
  • Assist in generating CECL allowance calculations and variance analyses.
  • Prepare supporting schedules, workpapers, and dashboards for internal stakeholders and auditors.
  • Identify trends in portfolio performance, credit quality, and model outputs.
  • Controls, Compliance & Audit Support
  • Support internal and external audit requests related to CECL processes and controls.
  • Ensure CECL processes align with regulatory guidance and internal policies.
  • Contribute to the enhancement of data quality procedures and risk controls.
  • Cross-Functional Collaboration
  • Partner with Credit, Finance, Accounting, and Data teams to gather required inputs and clarify assumptions.
  • Support ad hoc analysis and special projects related to credit risk, loan portfolio performance, or regulatory changes.

Requirements
What We're Looking For:
  • Degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Analytics, or related field.
  • Strong analytical and quantitative skills.
  • Previous experience with vended software, like Moody's Portfolio Analyzer or Impairment Studio preferred.
  • Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.
  • Ability to work with large datasets and identify discrepancies.
  • Strong organizational skills and attention to detail.

Preferred Qualifications
  • 5+ years of experience in financial services, banking, credit risk, accounting, or data analytics.
  • Exposure to CECL methodology, ALLL, or other credit modeling frameworks.
  • Experience with loan servicing or core banking systems.
  • Understanding of credit risk metrics and loan portfolio structures.

Key Competencies
  • Analytical thinking
  • Problem-solving
  • Data accuracy and precision
  • Ability to manage multiple priorities
  • Strong communication skills
  • Initiative and willingness to learn complex financial concepts

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