Data Analyst

Elder Research

$80K — $95K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in Data Analysis or Data Management
  • Bachelor's degree in a relevant field (statistics, computer science, etc.)
  • Proficient in SQL and Python for data analysis
  • Understanding of databases and database design
  • Possession of an IRS Public Trust clearance

Responsibilities

  • Clean, manage, and process large volumes of data
  • Build dashboards and reports using Power BI and Tableau
  • Analyze complex data issues with strong problem-solving skills
  • Gather requirements and understand business needs from cross-functional teams
  • Communicate data findings effectively to stakeholders

Benefits

  • Hybrid work environment
  • Opportunities for collaboration with a skilled team of data professionals
  • Professionally rewarding projects supporting federal government clients
  • Development of analytical skills in a complex data landscape
  • Potential for continued education and training in data tools and techniques
Full Job Description
Data Analyst

General Information

Requisition #703

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


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