About The Position

Agility Technologies delivers modern technology solutions that help mission-driven organizations build secure, scalable, and resilient digital ecosystems. We specialize in systems integration, cloud architecture, automation, and data-driven platforms supporting high-impact outcomes. We are seeking a Mid-Level Data Analyst to support analytics and reporting across a complex education technology ecosystem. This role will help drive data-informed decision-making by building dashboards, developing insights, and ensuring data quality across integrated platforms and workflows. Role Overview As a Mid-Level Data Analyst, you will work with cross-functional stakeholders to analyze operational and student lifecycle data, create meaningful dashboards and reports, and support performance measurement across enterprise systems. You will use SQL and analytical tools to identify trends, support business processes, and improve outcomes through actionable insights.

Requirements

  • Bachelor’s degree in Data Science, Statistics, or a related field
  • 3+ years of experience performing data analysis and data visualization
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to communicate findings clearly to both technical and non-technical audiences
  • Must be a U.S. Citizen
  • Must be eligible for and capable of obtaining a U.S. Government security clearance
  • Must be currently residing in the United States
  • Must be willing to travel occasionally to Washington, DC for in-person meetings

Nice To Haves

  • Experience with BI and visualization tools such as: Power BI Tableau Excel
  • Proficiency in SQL
  • Proficiency in a statistical or analytical language such as: Python R
  • Experience working with complex datasets across multiple systems or platforms

Responsibilities

  • Perform data analysis to support operational reporting and strategic decision-making
  • Develop dashboards and visualizations for key performance metrics and stakeholder reporting
  • Write and optimize SQL queries to extract, validate, and analyze data from multiple sources
  • Support data quality efforts by identifying inconsistencies, gaps, and anomalies in datasets
  • Translate stakeholder questions into clear analysis plans and reporting deliverables
  • Create recurring and ad-hoc reports to support business operations and leadership needs
  • Document data definitions, reporting logic, and dashboard requirements
  • Collaborate with engineering and integration teams to support end-to-end data accuracy

Benefits

  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Parental leave
  • Vision insurance
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