Data Analyst

Jefferson Capital; Sartell (MN); On-site; USD 50,000 - 60,000; Full time

Job summary

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.

You will partner with executives to surface improvement opportunities, run recurring data processing activities, and build comprehensive performance reporting.

Qualifications

• Bachelor’s degree in quantitative field or equivalent experience.
• Proficiency in Excel; knowledge of SAS, SQL, or relational databases.
• Strong analytical, problem-solving, and attention to detail.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Partner with executives and leaders to surface 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 for internal stakeholders to monitor metrics and trends.
• Analyze large datasets to identify patterns, trends, anomalies and potential operational improvements.
• Gather requirements, prepare data, conduct analysis and communicate results.

Skills

Excel

SAS

SQL

Relational databases

Analytical thinking

Problem-solving

Attention to detail

Communication

Multitasking

Education

Bachelor’s degree or equivalent experience

Tools

SAS

SQL

Relational databases

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.