Data Analyst

Jefferson Capital Systems; Sartell (MN); On-site; USD 65,000 - 95,000; Full time

Job summary

EmergencyMD is seeking a Data Analyst to support business operations through reporting, analytics, and data quality oversight. You will build and maintain performance reporting, validate data, and partner with stakeholders to identify opportunities for efficiency and better decision making.

The role requires strong analytical thinking, attention to detail, and a drive to leverage data for impactful outcomes.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science or equivalent experience.
• Proficiency in Excel; experience with SAS, SQL, or relational databases is highly desired.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent attention to detail and communication abilities; able to manage multiple priorities in a fast-paced environment.
• Self-motivated, able to work independently and collaborate within a team.

Responsibilities

• Identify opportunities for data-driven decision making with executives and leaders.
• Execute recurring data processing activities: file creation, validation, quality control, report distribution.
• Develop and maintain performance reporting for key business metrics and trends.
• Analyze large datasets to find patterns, trends, and operational improvement opportunities.
• Gather requirements and conduct analyses for analytical projects; communicate findings clearly.
• Define and improve business processes to enhance data value and usability.
• Collaborate with cross-functional teams to implement analytical solutions improving efficiency and reporting.
• Validate changes and initiatives to measure impact and effectiveness.
• Investigate data integrity issues and ensure accuracy of reports and datasets.
• Create and maintain data definitions, validation procedures, and reporting methodologies.

Skills

Analytical thinking

Problem-solving

Attention to detail

Communication

Self-motivation

Independent work

Multitasking

Education

Bachelor's degree in a quantitative field

Tools

SAS

SQL

Relational databases

Excel

Job description

JOB SUMMARY

The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved efficiency 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 business outcomes.

ROLES & RESPONSIBILITIES

• Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making.
• Complete recurring data processing activities, including file creation, validation, quality control reviews, report generation, and distribution.
• Develop, maintain, and enhance performance reporting used by internal stakeholders to monitor key business metrics and trends.
• Analyze large datasets to identify patterns, trends, anomalies, and opportunities for operational improvement.
• Support analytical projects by gathering requirements, preparing data, conducting analysis, and communicating findings.
• Define, document, and improve business processes that enhance 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.
• Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports and datasets.
• Create and maintain process documentation, data definitions, validation procedures, and reporting methodologies.

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, or relational databases 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.
• Self-motivated and able to work independently while also contributing effectively within a team environment.