Data Analyst
General Information
Requisition # 708
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS - MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: consulting with technical and non-technical stakeholders, exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python, developing and deploying data visualization dashboards, and communicating data analysis results, dashboards and reports to end-users
Responsibilities include but are not limited to:
- Experience with cleaning, management and processing large volumes of data.
- Experience building dashboards and reports using data visualization tools including Power BI, and Tableau.
- Strong analytical and problem-solving skills with the ability to identify and address complex data issues.
- Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability.
- Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels.
Minimum Qualifications:
- Strong analytical and problem-solving skills with the ability to identify and address complex data issues.
- 2+ years of Data Analysis or Data Management experience.
- Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
- Clearance Required
- Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data.
- Understanding of databases and familiarity with database design.
Preferred Qualifications:
- Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
- Ideally located in the DC Metro area to attend regularly scheduled meetings
- Statistical/Predictive Analysis
- Domain Expertise (fraud) or management
Clearance Requirements:
- Must currently possess an IRS Public Trust clearance with Full Background Investigation
Physical Requirements:
- Must be able to remain in a stationary position 50%
- Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
- Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at [email protected] and provide your name and contact information.
Skills Required
- 2+ years of Data Analysis or Data Management experience
- Bachelor of Science degree in statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
- Must currently possess an IRS Public Trust clearance with Full Background Investigation
- Proficient in SQL for data exploration and analysis
- Proficient in Python for data exploration and analysis
- Understanding of databases and familiarity with database design
- Experience with cleaning, management and processing large volumes of data
- Experience building dashboards and reports using Power BI and Tableau
- Strong analytical and problem-solving skills
- Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, MIS, decision science, or related fields
- Ideally located in the DC Metro area to attend regularly scheduled meetings
- Statistical/Predictive Analysis experience
- Domain expertise (fraud) or management
What We Do
Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.
