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Data Manager

Fulton,MD

1180 Data Manager jobs in Fulton,MD

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Data Analyst

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 4+ years of experience working with DoW clients such as NAVSEA or NAVWAR
  • 2+ years of experience with Power BI or Tableau
  • 2+ years of experience with programming languages such as SQL and Python, for data manipulation and analysis
  • 1+ years of experience with data engineering in Databricks or Spark
  • Experience with acquisition, program management, and financial analysis, including task planning, allocations, or funding execution
  • Experience using Microsoft Office 365 Suite applications such as Word, Excel, PowerPoint, Teams, or SharePoint
  • Knowledge of Navy systems, including COBRA, ERP, EDW, NEPS, or EVMCR
  • Ability to be self-motivated and pay strict attention to detail
  • Secret clearance
  • Bachelor's degree
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New, Posted 8 hours ago
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Senior Manager, Data Scientist - Experimentation Lead

Capital One

Mc Lean, VA 22102

New, Posted 8 hours ago
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Area Contract Manager, Central - Data Center Design, Engineering, & Construction

Meta

Washington, DC 20080

$150,000/yr
New, Posted 8 hours ago
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Data Analyst, Education

U.S. News & World Report

Washington, DC 20037

New, Posted 8 hours ago
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Sr Digital Delivery Coordinator (Data Centers)

Jacobs

Washington, DC 20080

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Border Security Data Management Specialist

Guidehouse Careers

Washington, DC 20011

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Lead Specialist, Federal Data Science

KPMG

Washington Navy Yard, DC 20398

New, Posted 5 hours ago
Senior Data Engineer - Databricks

Steampunk

Mc Lean, VA 22102

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Data Scientist

Square Peg Technologies

Washington, DC 20003

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Senior Data Officer, AVP

Foundation for the NIH

Rockville, MD 20852

Hybrid~ 27 min

  • Advanced degree (PhD, MD, MS, or equivalent) in data science, computer science, information systems, or related field
  • 15+ years of experience in data leadership roles, including enterprise data strategy, governance, and architecture
  • Demonstrated experience building and scaling large, complex data platforms or ecosystems
  • Deep expertise in data governance, data architecture, and regulatory compliance
  • Experience working with complex, multi-institutional or regulated data environments
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