Draper, UT

Data Jobs in Draper, UT

3 jobs found

Include remote jobs

1mo ago

Analytics Data Engineer (BI/Fabric)

Lifewave Inc Draper, UT

Draper, UT

1mo ago Closed

Full time Analytics Azure Data Factory Azure Platform

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

LifeWave offers an onsite analytics career in Draper, Utah, underpinned by an inclusive culture and a commitment to accessibility. In this Analytics Data Engineer role focused on BI and Microsoft Fabric, you will own the technical evolution of Lifewave's global analytics environment, administer the Fabric ecosystem, and create data objects that empower BI analysts while upholding data health and governance standards. You will report to the Global Senior Manager of Business Intelligence.

Responsibilities

Oversee data warehouses and lakehouses within the Microsoft Fabric platform.
Build data pipelines using Data Factory components and PySpark inside Fabric.
Manage Fabric workspace access controls and connections.
Implement automated data freshness checks and monitor pipeline failures and latency.
Develop robust, maintainable SQL for complex databases (DDL and DML; DQL preferred).
Collaborate with cross-functional partners including Sales, Marketing, Events, and Recognition teams.
Contribute to a scalable library of Semantic Models ready for visualization and analysis.
Define and enforce data naming conventions and workspace folder structures to enable global BI self-service at scale.
Assist in defining, documenting, and enforcing a business-ready data dictionary.
Prepare the environment for future scaling to support advanced transformations and AI readiness.
Manage CI/CD processes in a Fabric environment via GitHub integration.

Supervisory responsibilities: This position has no supervisory responsibilities.

Requirements

Bachelor's Degree in a related field or equivalent/higher.
2–4 years of experience in data engineering, analytics, or a related field.
Mastery of T-SQL for warehouse management and complex data modeling (DDL and DML required, DQL preferred).
Functional knowledge of DAX for semantic modeling.
Experience connecting to and extracting data from REST or SOAP APIs via Data Factory objects and/or PySpark.
Functional knowledge of PySpark and Python.
Familiarity with the Fabric ecosystem, including lakehouses, data warehouses, and semantic models.
General understanding of star schema design to support BI reporting.
Proficiency with Power Query, Dataflows, and data pipelines.
Strong attention to detail, critical thinking, and problem-solving abilities.
Excellent written and verbal communication skills and the ability to collaborate cross-functionally.
Adaptability to multiple demands, shifting priorities, ambiguity, and rapid change.

Technologies

Microsoft Fabric
Data Factory
PySpark, Python
SQL, T-SQL, DAX
GitHub
Power Query, Dataflows, Data Pipelines
REST/SOAP APIs
Databricks SQL / Python

Work environment and accommodations

LifeWave operates as an in-office organization with onsite work in Draper, in alignment with corporate policy. The role requires computer-based work at a desk and mobility within the office, with occasional lifting up to 25 pounds. LifeWave is committed to an inclusive workplace that values diversity and provides equal opportunities for all. We support the Americans with Disabilities Act and offer reasonable accommodations for qualified individuals. If you require accommodation during the application or interview process, please inform our HR department, and we will work with you to ensure your needs are met.

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1mo ago

Senior Data Analyst - Remote

UnitedHealth Group Draper, UT 🇺🇸 Remote

Draper, UT

1mo ago Closed

$92k - $164k/yr Full time Senior Analyst Analytical Skills

This position is no longer accepting applications (closed Aug 13, 2026).

Job Description

Senior Data Analyst supporting UnitedHealth Group's Credit team with data driven insights across credit risk, portfolio performance, underwriting, and loss mitigation in a remote friendly, U.S. based role.

Responsibilities

Serve as a senior analytics partner to the Credit team, delivering 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
Use Python with libraries such as pandas and NumPy to perform advanced data analysis, automation, validation, and feature engineering, augmenting SQL workflows
Design, build, and support interactive Power BI dashboards and reports to present clear, actionable insights to Credit leadership and business stakeholders
Create and maintain SSRS reports to support operational, regulatory, and management reporting needs, ensuring accuracy and timeliness
Conduct advanced Excel analysis, including pivot tables, Power Query, Power Pivot, and complex formulas to support ad hoc requests
Analyze credit metrics such as delinquency, roll rates, charge-offs, recoveries, exposure, and vintage performance to identify trends and risks
Collaborate with Credit Risk, Underwriting, Finance, and Compliance to ensure reporting aligns with business rules and regulatory expectations
Validate data integrity and reconcile results across multiple systems to ensure reporting reliability
Translate complex analytical findings into clear insights and recommendations for both technical and non technical audiences
Support automation and process improvements to increase efficiency, scalability, and self service analytics within Credit
Mentor junior analysts and contribute to best practices for SQL, reporting standards, and analytical methodologies
Ensure adherence to data governance, security, and regulatory requirements specific to banking and credit data

Requirements

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 libraries such as pandas and NumPy for data manipulation, validation, automation, and large scale analysis; experience building reusable scripts or pipelines is highly valued
Expert-level SQL skills with experience writing complex joins, CTEs, subqueries, window functions, and performance optimized queries against large datasets
Advanced Power BI experience, including data modeling, DAX, custom measures, and executive ready dashboards
Advanced Excel skills, including pivot tables, Power Query, Power Pivot, complex formulas, and ability to perform 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
Strong analytical and problem solving skills with the ability to independently investigate issues and deliver insights
Excellent communication skills to explain complex data findings to both technical and non technical stakeholders

Technologies

Python
pandas
NumPy
SQL
Power BI
SSRS
Excel
Power Query
Power Pivot

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Preferred Qualifications

Experience with consumer or commercial lending products such as 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 (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 such as CECL, stress testing, portfolio monitoring, and audit support
Demonstrated ability to mentor junior analysts and establish analytics best practices

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2mo ago

Senior Data Analyst

UnitedHealth Group Draper, UT 🇺🇸 Remote

Draper, UT

2mo ago Closed

$92k - $164k/yr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

UnitedHealth Group, Optum, is seeking a Senior Data Analyst in Draper, UT with remote options. The role centers on credit analytics, building data pipelines, dashboards, and reports to inform credit risk, underwriting, and portfolio decisions. This position offers a comprehensive benefits package, incentive and recognition programs, equity stock purchase, and a 401k contribution.

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Responsibilities

Act as a senior analytics partner to the Credit team, delivering data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation
Design, optimize, and maintain complex SQL queries to extract, transform, and analyze large volumes of financial and credit data from enterprise data warehouses
Use Python with libraries such as pandas and NumPy to perform advanced data analysis, automate workflows, validate results, and engineer features, complementing SQL-based workflows and boosting analytical efficiency
Create and maintain interactive Power BI dashboards and reports to deliver clear, actionable insights to Credit leadership and stakeholders
Develop and sustain SSRS reports to support operational, regulatory, and management reporting needs, ensuring accuracy, consistency, and timeliness
Conduct advanced Excel analysis with pivot tables, Power Query, Power Pivot, and complex formulas to support ad hoc requests and deep-dive investigations
Analyze credit metrics including delinquency, roll rates, charge-offs, recoveries, exposure, and vintage performance to identify trends, risks, and opportunities
Collaborate with Credit Risk, Underwriting, Finance, and Compliance 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 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

Requirements

Bachelor's degree in Data Analytics, Finance, Economics, Statistics, Information Systems, or 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 Power BI skills, including data modeling, DAX, custom measures, and executive-ready dashboards
Hands-on SSRS report development, maintenance, and support in a production environment
Solid working knowledge of credit concepts such as delinquency, charge-offs, recoveries, exposure, vintages, utilization, and portfolio performance
Advanced Python proficiency, including pandas, NumPy, and related analytical packages for data manipulation, validation, automation, and large-scale analysis; experience building reusable scripts or pipelines is highly valued
Expert SQL proficiency, including complex joins, CTEs, subqueries, window functions, and performance-optimized queries on large datasets
Advanced Excel skills, including pivot tables, Power Query, Power Pivot, complex formulas, and statistical or financial analysis
Ability to validate data, reconcile across multiple source systems, and ensure high data quality and reporting accuracy
Strong analytical and problem-solving skills with the capacity to independently investigate issues and deliver insights
Excellent communication skills for explaining complex data findings to technical and non-technical stakeholders

Technologies

Technologies: Python, pandas, NumPy, SQL, Power BI, SSRS, Excel, Power Query, Power Pivot, DAX

Preferred Qualifications

Experience with consumer or commercial lending products such as credit cards, auto loans, personal loans, mortgages, or commercial loans
Experience with large enterprise data warehouses and financial systems
Experience building automated or self-service reporting solutions for business users
Experience using Python for automation, process optimization, or advanced analytics (trend analysis, scenario analysis, or custom performance monitoring)
Experience developing, validating, or deploying analytical 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 (CECL, stress testing, portfolio monitoring, audit support)
Demonstrated ability to mentor junior analysts and establish analytics best practices

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Data Jobs in Draper, UT

Analytics Data Engineer (BI/Fabric)

Senior Data Analyst - Remote

Senior Data Analyst

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