Analyze business problems using internal and external data to identify trends, patterns, and key drivers.
Translate business needs into reporting specifications and develop solutions for presenting information clearly and effectively.
Build and maintain queries, reports, and dashboards to support projects and operational decision‑making.
Partner with internal teams to research and resolve data‑related inquiries of moderate complexity.
Contribute to continuous improvement efforts, including process enhancements, team knowledge‑sharing, and best‑practice development.

Requirements

High school diploma or equivalent required. B.A. preferred.
Minimum of 2 years of experience in data analysis, business intelligence, or a related field.
Strong proficiency in Microsoft Excel.
Basic to moderate experience developing SQL queries and procedures.
Foundational understanding of reporting automation and data modeling concepts.
Experience with R, Python, Azure, or similar analytical tools.
Familiarity with data visualization tools such as Power BI or DAX Studio.
Working knowledge of Agile or Lean methodologies.
Ability to apply data quality concepts to ensure accuracy and consistency.

Benefits

A rich benefits package including medical, dental, vision and a 401(k) plan with matching company contributions
An annual incentive bonus plan
Generous paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually — PTO increases with tenure
A supportive, responsive management approach and opportunities for career growth and advancement
Paid parental leave and adoption/surrogacy assistance
An employee giving program that double matches your donations to eligible nonprofits and schools

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisbusiness intelligenceSQLreporting automationdata modelingRPythonAzuredata visualizationDAX

Soft Skills

problem analysiscommunicationcollaborationcontinuous improvementknowledge sharingprocess enhancementdecision makingdata quality