Data Analyst

Job Title: Data Analyst
Location: Aurora, CO (100% In-Person)
Reports To: Manager
Classification: Non-Exempt
Position Type: Full-Time or Part-Time
Salary: $20 per hour

Summary / Objective:
The Data Analyst will support the team by performing data-related tasks to help drive informed business decisions. This role involves working primarily with Excel and email communication in a fast-paced environment.

Essential Functions:

• Missing Information Data Management
  

• Daily Sample Tracking
  

• Scheduling Pick-ups for Clinics
  

• Frequent Distribution of Forms to Clinics
  

• Engaging with and Responding to Sales and Client Inquiries Regarding Test Results
  

• Sample Tracking and Supplies Management
  

• Manage and analyze data using Microsoft Excel
  

• Communicate effectively via email with internal teams
  

• Support data entry, reporting, and data quality initiatives
  

• Assist with administrative or analytical tasks as needed
  Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  

Competencies:

• Strong communication skills
  

• Ability to multi-task and manage time effectively
  

• High level of responsibility and accountability
  

• Results-oriented mindset
  

• Team-oriented approach
  

Supervisory Responsibilities:
This position does not have supervisory responsibilities.

Work Environment:
Corporate office environment. This is a fully onsite role with no remote work.

Physical Demands:
Primarily sedentary office work with minimal physical activity, similar to roles such as secretary or accountant.

Work Schedule:
Flexible hours. This role can be full-time or part-time. Specific schedule to be determined with the manager.

Travel Requirements:
No travel required. Fully on site in Aurora, CO.


Benefits

Required Qualifications:

• 1–3 years of relevant experience
  

• Proficiency in Microsoft Excel and professional email communication
  

• Authorization to work in the United States
  

Preferred Qualifications:

• Additional experience with data analysis tools or platforms is a plus
  

• Strong organizational and documentation skills