UK Data Analyst

Jefferson Capital; Sartell (MN); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

401(k)

Healthcare benefits

Dental insurance

Vision insurance

Paid time off

Parental leave

Tuition Reimbursement

Job summary

Jefferson Capital seeks a Data Analyst to support UK business operations through reporting, analytics, data processing, testing, and data quality oversight. You will enhance inventory management through analysis of placement, recalls, skip tracing, and performance trends.

Strong problem-solving, attention to detail, and a passion for leveraging data to drive operational efficiency are essential. The role requires collaboration with cross-functional teams, data validation, and the ability to

Qualifications

• Bachelor's degree in a quantitative field; equivalent experience considered.
• Proficiency in Excel; SAS/SQL and relational databases highly desirable.
• Strong analytical, problem-solving, and critical-thinking skills.
• Attention to detail, communication skills, and ability to manage multiple priorities in a fast-paced environment.
• Experience with recurring processes, transactional data, and validation routines.
• Experience analyzing large operational datasets and translating findings into actionable recommendations.

Responsibilities

• Collaborate with leaders and stakeholders to identify data-driven improvement opportunities.
• Support recurring UK data processing activities: file creation, placement, recall, validation, reporting.
• Analyze large datasets to identify patterns, anomalies, and optimization opportunities in inventory management.
• Develop, maintain, and enhance performance reports for UK business metrics and vendor performance.
• Design, execute, and evaluate tests related to inventory strategies and reporting logic.
• Gather requirements and communicate findings clearly to business partners.
• Document data definitions, validation procedures, and reporting methodologies.
• Provide analytical support for placement and recall decisioning and performance tracking.

Skills

Analytical thinking

Attention to detail

Communication

Problem-solving

Multitasking

Independent work

Team collaboration

Education

Bachelor's degree in a quantitative field

Tools

Excel

SAS

SQL

Relational databases

Job description

JOB SUMMARY

The Data Analyst is responsible for supporting UK business operations through reporting, analytics, data processing, testing, and data quality oversight. This role supports UK inventory management through placement and recall processes, skip tracing strategies, recurring operational reporting, process validation, and analytical projects designed to improve business performance and decision making. Success in this role requires strong analytical thinking, attention to detail, problem-solving ability, and a passion for leveraging data to drive operational efficiency and business outcomes.

ROLES & RESPONSIBILITIES

• Work with UK business leaders, operations teams, and internal stakeholders to identify opportunities for process improvement and data-driven decision making.
• Support recurring UK data processing activities, including file creation, placement and recall processing, validation, quality control reviews, report generation, and distribution.
• Support inventory management activities including account placements, recalls, inventory segmentation, routing strategies, and related performance analysis.
• Develop, maintain, and enhance performance reporting used to monitor UK business metrics, portfolio movement, agency activity, skip tracing results, vendor performance, and operational trends.
• Analyze large datasets to identify patterns, trends, anomalies, and opportunities for improved inventory management, placement strategy, recall timing, and skip tracing effectiveness.
• Support analytical projects by gathering requirements, preparing data, conducting analysis, and clearly communicating findings to business partners.
• Design, execute, and evaluate tests related to inventory strategies, skip tracing processes, operational workflows, data sources, reporting logic, and business initiatives.
• Define, document, and improve business processes that enhance the value, accuracy, and usability of internal and external UK data.
• Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, controls, and business outcomes.
• Validate process changes and business initiatives to measure effectiveness and quantify operational impact.
• Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports, files, and datasets.
• Create and maintain process documentation, data definitions, validation procedures, file layouts, testing results, and reporting methodologies.
• Support skip tracing analysis by evaluating data availability, match results, vendor output, and downstream business impact.
• Provide analytical support for placement and recall decisioning, including inventory segmentation, performance tracking, and operational review.

REQUIREMENTS

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered.
• Proficiency in Excel; experience with SAS, SQL, relational databases, or other analytical tools is highly desired.
• Strong analytical, problem-solving, and critical-thinking skills.
• Strong attention to detail, communication skills, and the ability to manage multiple priorities in a fast-paced environment.
• Ability to work with recurring processes, transactional data, operational reporting, and data validation routines.
• Experience analyzing large operational datasets and translating findings into actionable business recommendations preferred.
• Experience with collections, financial services, contact center operations, or debt purchasing environments is a plus.
• Self-motivated and able to work independently while also contributing effectively within a team environment.
• Interest in learning UK business operations, placement and recall processes, skip tracing data, and portfolio performance analytics.

BENEFITS

• 401(k)
• 401(k) matching
• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible spending accounts
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Tuition Reimbursement
• Vision insurance
• Pet insurance
• Employee discount program