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Data Analyst III

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Kent, Campa and Kate Inc
Full Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
  • Business
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 90000 - 95000 USD Yearly USD 90000.00 95000.00 YEAR
Job Description & How to Apply Below

Background:

Kent, Campa and Kate Incorporated (KCK) is a federal contracting company that provides professional services to Government Agencies. We are currently seeking candidates for a Data Analyst position located in Arlington, VA.This position is located in the National Foreign Affairs Training Center (NFATC), formerly the Foreign Service Institute.

Salary: $90,000-$95,000

Position Summary:

The Data Analyst Supports Data Analyst team members, Evaluation Specialists, and all program managers to collect, understand, and visualize data, using multiple data sources (primarily NFATC’s Centralized Evaluation System (CES), but also Student Information System (SIS) and FSiLearn as necessary);
With the support of program managers/SMEs, provides basic data analysis to answer standard or recurring inquiries and identify trends, correlation, and other relationships in data sets.

Works with various stakeholders to understand data trends, sources, and analyze goals and connect data to business processes to enable program managers to obtain a deeper understanding of potential considerations and assumptions;
Conducts detail-oriented tasks and analysis of projects independently with support from program managers/SMEs.

Creates supporting materials for analysis projects (assumptions, briefings, handouts, written documents, user guides, etc.);
Works with program managers/SMEs in the development of metrics to identify trends in training and other integral data.

Develops, updates, and applies data models to generate reports and analysis to inform stakeholders;
Retrieves, validates, formats, and organizes a variety of data from many sources;
Conducts data analysis to answer standard or recurring inquiries and identify trends, correlation, and other relationships in data sets;
Provides data integration by linking data from multiple sources to conduct organizational analysis;
Conducts detail-oriented tasks and analysis projects independently with minimal supervision.

Requirements:
  • Education: Master’s degree in a related field.
  • Experience: Five (5) years of experience in an office or professional setting;
    Three (3) years of relevant professional experience in data analysis or data architecture with specialized experience in business process improvement and implementation of data analysis processes and procedures is required.
  • Active Secret clearance required.
  • Highly proficient in the MS Office Suite, particularly MS Excel.
  • Familiarity with software or tools used for business analytics, data analysis, and visualization such as Tableau, Power Pivot, Powerbase, Access, or Visio;
  • Experience with Qualtrics;
  • Experience with data visualization methods and approaches;
  • Experience with general data analysis tasks--identifying, analyzing, and interpreting trends; acquiring data from primary or secondary data sources and maintaining databases; filtering and "cleaning" data by reviewing reports and performance indicators to locate and correct problems; developing and refining ad hoc reports; and identifying and prioritizing business and information needs;
  • Experience working with large data sets to distill information and present to all levels of organizational leadership.
Working Duties (including, but not limited to):
  • Develops, updates, and applies data models to generate reports and analysis to inform stakeholders;
  • Retrieves, validates, formats, and organizes a variety of data from many sources;
  • Conducts data analysis to answer standard or recurring inquiries and identify trends, correlation, and other relationships in data sets;
  • Works across various stakeholders to understand data trends, sources, and analysis goals and connect data to business processes to obtain a deeper understanding of potential considerations and assumptions;
  • Provi…
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