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Data Extraction Analyst Jobs in Washington (NOW HIRING)

Real Soft, Inc.

Data Profiler

Columbia, MD · On-site

Experience with cyber data analysis , including monitoring and reporting * Experience with data extraction, transformation, and preparation (ETL) * Strong attention to detail and ability to work ...

GDIT

Data Scientist - TS/SCI w/Poly

Mclean, VA

$212K - $287K/yr

Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Closure Technologies

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Responsibilities : • Designing, implementing, and optimizing data extraction, cleansing ... Company : Closure Technologies offers big data, analytics, cloud infrastructure, software ...

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All JobsData Extraction Analyst JobsData Extraction Analyst Jobs in Washington

Data Extraction Analyst information

What is the difference between Data Extraction Analyst vs Data Analyst?

AspectData Extraction AnalystData Analyst
Primary FocusExtracting, cleaning, and preparing data from various sourcesAnalyzing data to identify trends and support decision-making
Skills & ToolsSQL, data scraping, ETL tools, data managementExcel, statistical analysis, visualization tools, SQL
Work EnvironmentData warehouses, databases, ETL pipelinesReporting platforms, dashboards, business intelligence tools
Common IndustriesIT, finance, marketing, e-commerceFinance, healthcare, marketing, consulting

While both roles involve working with data, Data Extraction Analysts focus on retrieving and preparing data for analysis, whereas Data Analysts interpret and analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a data extraction analyst, and why are they important?

To thrive as a Data Extraction Analyst, strong analytical skills, attention to detail, and proficiency in data management are essential, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL (Extract, Transform, Load) tools, SQL databases, and data visualization software is typically required, and certifications in data analytics or database management can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability help analysts effectively interpret data requirements and collaborate with stakeholders. These skills ensure accurate data extraction, support informed decision-making, and maintain data integrity in complex organizational environments.

What is a data extraction analyst?

A Data Extraction Analyst is a professional responsible for collecting, processing, and interpreting data from various sources, such as databases, documents, and websites. They use specialized tools and software to extract relevant data, ensuring its accuracy and integrity. Their work supports business decisions, reporting, and analytics by making data accessible and usable for organizations. Data Extraction Analysts often collaborate with IT, data science, and business teams to streamline data workflows and comply with data privacy regulations.

What are the most common challenges data extraction analysts face when working with unstructured data sources?

Data Extraction Analysts often encounter challenges when dealing with unstructured data, such as inconsistent formats, incomplete records, and noisy or irrelevant information. Extracting reliable data from sources like scanned documents, emails, or social media posts requires advanced tools and techniques, including optical character recognition (OCR) and natural language processing (NLP). Overcoming these challenges typically involves close collaboration with data engineers and subject matter experts, as well as continuous refinement of extraction processes to maintain data quality and accuracy.
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Data Extraction Analyst jobs near you
Infographic showing various Data Extraction Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Junior Budget Analyst

Think Tank, Inc.

Silver Spring, MD

Contractor

Posted 6 days ago

Job description

*Position is Subject to Contract Award

ESSENTIAL DUTIES / RESPONSIBILITIES

  • Supports Senior Budget Analysts with data extraction, reconciliations, and meeting logistics for federal client touchpoints

MINIMUM QUALIFICATIONS

  • BA/BS in Finance, Accounting, or related
  • 2–4 years federal budget or accounting experience
  • Excel modeling proficiency
  • Exposure to at least one federal FM system

PREFERRED QUALIFICATIONS

  • Public Trust eligibility
  • CGFM candidate

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