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Business Analyst Sql R Python Jobs in Orem, UT (NOW HIRING)

Medallion Bank

Credit Risk Manager

Salt Lake City, UT · On-site

Strong proficiency in statistical programming - R, Python, or SAS - for data wrangling, analytics ... Experience with SQL and/or data warehousing platforms (e.g., Snowflake, SQL Server/SSMS) is ...

Waystar

Data Scientist

Lehi, UT · On-site

... analysis and experiments to product, service, and business managers. • Works closely with ... R/Python predictive modeling • Demonstrated competency in RDBMS (e.g. SQL Server) • Ability to ...

Varsity Tutors

Business Analytics Tutor

Provo, UT · Remote

$40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Varsity Tutors

Business Analytics Tutor

Spanish Fork, UT · Remote

$40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

EverCommerce

Analyst, Growth

Orem, UT · On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... B2B industries is a plus * Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL

Waystar

Data Scientist

Lehi, UT · On-site

Incumbents whose focus is the quantitative analysis of complex business problems and issues using ... in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g. SQL Server) * Ability to ...

swirecc

Data Scientist

Draper, UT

... business outcomes, and communicate and document work. Use Python and SQL to model real-world ... Business Analytics or an equivalent field, and 2 years of experience as a Data Scientist.

swirecc

Data Scientist

Draper, UT

... business outcomes, and communicate and document work. Use Python and SQL to model real-world ... Business Analytics or an equivalent field, and 2 years of experience as a Data Scientist.

swirecc

Data Scientist

Draper, UT

... business outcomes, and communicate and document work. Use Python and SQL to model real-world ... Business Analytics or an equivalent field, and 2 years of experience as a Data Scientist.

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How much do business analyst sql r python jobs pay per hour?

As of May 31, 2026, the average hourly pay for business analyst sql r python in Orem, UT is $41.24, according to ZipRecruiter salary data. Most workers in this role earn between $30.91 and $51.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.
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Credit Risk Manager

Credit Risk Manager

Medallion Bank

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Please Note: This is a Utah-based hybrid position, which will require some regular in-office days each week. Additionally, employment with Medallion Bank is contingent on passing both a background check and maintaining a clean background.
Who we are:
At Medallion Bank we finance fun! We are an industrial loan bank that specializes in providing consumer loans for the purchase of recreational vehicles, boats, home improvement, and offering loan origination services to fintech partners. We work directly with thousands of dealers, contractors and financial service providers serving their customers throughout the United States. Medallion Bank is a small company with a big impact. We recognize our employees as our greatest asset and have a culture to prove it!
How you will support the team:
Analytical professional responsible for supporting credit risk management across Medallion Bank's Recreation Lending and Home Improvement Installment portfolios. Reports to and works closely with the VP, Senior Credit Officer to deliver actionable data insights, credit policy analysis, and portfolio reporting that drive sound credit decisions and inform risk strategy.
What you will do:
  • Design, build, and maintain KPI/KRI dashboards tracking portfolio health metrics including approval rates, delinquency, loss rates, utilization, and vintage performance across Recreation and Consumer Installment portfolios.
  • Produce vintage curve and delinquency analyses to identify emerging risk trends and inform timely policy adjustments.
  • Conduct credit policy rule analyses - including underwriting rule-sharing studies across product lines - to assess policy effectiveness, overlap, and optimization opportunities.
  • Develop and deliver regular executive-level credit reports summarizing portfolio performance, risk segment trends, and key risk indicators for senior management and committee audiences.
  • Support ad hoc analytical requests from the leadership, including scenario modeling, competitive benchmarking, and credit strategy evaluation.
  • Partner with Data Analytics and Finance teams on data acquisition, model validation support, analytics support, report building and use as a general resource for success.
  • Assist in maintaining and enhancing credit underwriting documentation, policy memoranda, and governance materials.
  • Perform other duties as assigned.

What you need to do that job:
  • Strong proficiency in statistical programming - R, Python, or SAS - for data wrangling, analytics pipelines, and visualization.
  • Advanced Excel skills including pivot tables, financial modeling, and chart production for executive reporting.
  • Solid understanding of consumer credit fundamentals: underwriting criteria, credit scoring, risk segmentation, delinquency measurement, and loss attribution.
  • Ability to translate complex data analyses into clear, executive-ready presentations and written summaries.
  • Highly organized with strong attention to detail and the ability to manage multiple deliverables concurrently.
  • Collaborative, communicative team player who works effectively across credit, analytics, finance, and product functions.

What you bring with you:
  • Minimum 5 years of experience in credit risk, financial analytics, or a related quantitative role within banking, fintech, or consumer finance.
  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field required.
  • Demonstrated experience producing portfolio monitoring reports and/or credit performance analytics.
  • Prior exposure to consumer installment, recreation (RV/marine/powersports), or specialty lending portfolios is a plus.
  • Experience with SQL and/or data warehousing platforms (e.g., Snowflake, SQL Server/SSMS) is preferred.

Environment:
  • In office work required with some hybrid work permitted.
  • Overtime and some travel may be required periodically.

Compensation & Benefits:
  • Competitive salary and performance-based incentives
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays
  • Professional development opportunities

Apply