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UK Data Analyst UK Data Analyst Base Salary:

$45000 to $55000

Per Year Employment Type:

Full Time Work Hours:

M-F 8am-5pm Location 200 14th Ave East Sartell, Minnesota 56377 Education 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. Experience Requirements

• 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. 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.

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