Data Analyst

CyberMedia Technologies

About The Position

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers’ bespoke mission requirements, are enabling this future every day. The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community. We are seeking to hire a Data Analyst to our team! Join Us in Empowering Lives Through SSA’s Employment Support Initiatives Are you passionate about making a meaningful difference in people’s lives? The Social Security Administration (SSA) is committed to helping individuals with disabilities achieve greater independence through employment. By joining our team, you’ll play a vital role in supporting this impactful mission—helping people unlock their potential, build confidence, and create brighter futures. If you're driven by purpose and inspired by the chance to make a lasting impact, we invite you to be part of a program that changes lives every day. The Data Analyst is responsible for collecting, analyzing, and interpreting program data to support operational decision-making, reporting, and continuous improvement efforts. This role develops and maintains reports, dashboards, and data visualizations, ensuring the accuracy, security, and integrity of all program-related data. The Data Analyst collaborates closely with team members and stakeholders to identify trends, monitor key performance indicators, and generate actionable insights that align with organizational goals and federal requirements.

Requirements

Bachelor’s degree with 2–4 years of relevant data analysis or data management experience, OR
High school diploma or GED with 8–10 years of directly related experience in data analysis, reporting, or comparable roles.
Demonstrated proficiency using data analysis and visualization tools (e.g., Excel, Tableau, Power BI, SAS, R, or Python).
Strong skills in data cleaning, validation, and statistical analysis.
Ability to interpret and present complex data in a clear, concise manner for both technical and non-technical audiences.
Experience creating reports, dashboards, and visual data presentations.
Exceptional attention to detail, organization, and data quality standards.
Strong communication and interpersonal skills for collaboration and reporting.
Proven ability to manage multiple projects, prioritize tasks, and meet deadlines in a dynamic environment.
Commitment to maintaining confidentiality and integrity in all work with sensitive data.
Must be a US Citizen and able to obtain and maintain a SSA Public Trust clearance

Nice To Haves

Familiarity with SSA, federal data privacy, and security requirements preferred.

Responsibilities

Collect, clean, and validate large sets of program-related data from multiple sources.
Analyze data to identify trends, patterns, and areas of concern or opportunity for the organization.
Develop, maintain, and update dashboards, reports, and visualizations to support program management and reporting needs.
Interpret data findings and present actionable recommendations to stakeholders and management.
Ensure the accuracy, security, and integrity of all data and analyses.
Prepare routine and ad hoc data reports for internal and external use, ensuring compliance with SSA, privacy, and other regulatory standards.
Collaborate with cross-functional teams to define data needs, support project objectives, and streamline data collection processes.
Use statistical and analytical tools to perform quantitative and qualitative analyses.
Document methodologies, data definitions, and processes clearly for future reference and audit purposes.
Support data migration, data integration, and quality assurance initiatives as needed.
Stay current with best practices in data analytics, visualization, and privacy/security requirements.