Data Analyst (CLEARED) at Elder Research
Arlington, VA 22201, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Fraud, Exploratory Data Analysis, Data Collection, Collaboration, Data Visualization

Industry

Information Technology/IT

Description

POSITION OVERVIEW:

The Data Analyst is responsible to analyze data to detect and prevent criminal activity. The key responsibilities include:

  • Analyze existing data structures and identify data migration requirements.
  • Ensure data integrity throughout the transformation process by designing and implementing data mapping strategies.
  • Develop and execute data migration plans, including data cleansing and transformation activities.
  • Communicate and Collaborate with stakeholders to understand data-related needs and provide insights to inform decision-making.
  • Additionally, create and maintain comprehensive documentation of data processes and workflows.

REQUIREMENTS:

  • Data Collection and Cleaning
  • Database Management
  • Exploratory Data Analysis (EDA)
  • BI / Data Visualization
  • Communication and Stakeholder Collaboration
  • Anti-Money Laundering (AML) Experience
  • Clearance Required: Current Secret required
  • Must reside in the DC Metro area and be able to attend regularly scheduled in-person meetings

Required Educational Background:

  • Bachelor’s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 3-5+ years of relevant work experience.
  • Or, a Master’s Degree with 2+ years of relevant work experience.

PREFERRED SKILLS AND QUALIFICATIONS:

  • Statistical/Predictive Analysis
  • Domain Expertise (fraud) or management
  • AML and BSA experience
  • A Top Secret clearance is preferred.
  • Master Degree Highly preferred
Responsibilities
  • Analyze existing data structures and identify data migration requirements.
  • Ensure data integrity throughout the transformation process by designing and implementing data mapping strategies.
  • Develop and execute data migration plans, including data cleansing and transformation activities.
  • Communicate and Collaborate with stakeholders to understand data-related needs and provide insights to inform decision-making.
  • Additionally, create and maintain comprehensive documentation of data processes and workflows
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