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Job Description

Jefferson Capital is seeking a Data Analyst to support business operations through reporting, analytics, and ongoing data quality oversight. This onsite role in Sartell, MN focuses on turning data into practical performance insights that help stakeholders improve efficiency and decision making.

What you’ll do

  • Partner with executives and business leaders to surface process improvement opportunities and enable data-driven decisions.
  • Run recurring data processing activities, including file creation, validation, quality control reviews, report generation, and distribution.
  • Build, maintain, and enhance performance reporting to help internal stakeholders monitor key business metrics and trends.
  • Analyze large datasets to identify patterns, trends, anomalies, and potential operational improvements.
  • Support analytical initiatives by gathering requirements, preparing data, conducting analysis, and communicating results.
  • Define, document, and improve business processes that increase the value and usability of internal and external data.
  • Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, and business outcomes.
  • Validate process changes and business initiatives to measure effectiveness and quantify operational impact.
  • Investigate data integrity issues, troubleshoot discrepancies, and help ensure report and dataset accuracy.
  • Create and maintain process documentation, including data definitions, validation procedures, and reporting methodologies.

What you bring

  • 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, or relational databases is highly desired.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail, effective communication skills, and the ability to manage multiple priorities in a fast-paced environment.
  • Self-motivation to work independently, with the ability to contribute effectively in a team setting.

Tools you’ll use

Excel, SAS, SQL, and relational databases

Compensation: USD 50,000 - 60,000 per year.

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