Remote Data Jobs

1 job found

9d ago

Senior Data Analyst - Remote

UnitedHealth Group Draper, UT 🇺🇸 Remote

Draper, UT

9d ago

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

Apply Now

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

View full job page →

Get Remote Data Jobs alerts

New Remote Data Jobs, daily.