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Data Extraction Analyst Jobs in Washington (NOW HIRING)

Tekcel8

Data Analyst

Laurel, MD · On-site

Strong proficiency in SQL for data extraction, analysis, and reporting. * Experience with data visualization tools such as Power BI, Tableau, or Looker . * Strong knowledge of Microsoft Excel ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC

$97K - $122K/yr

Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis. * Develop, optimize, and maintain SQL queries, views ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis. * Develop, optimize, and maintain SQL queries, views ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC

$97K - $122K/yr

Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis. * Develop, optimize, and maintain SQL queries, views ...

ICONMA

Data Analyst Specialist

Mclean, VA · On-site

Responsibilities : • Data Analysis & Pattern Identification • Extract, analyze, and interpret data from enterprise data stores and transactional databases to identify trends, patterns, and ...

New

SkyePoint Decisions

Data Analyst

Arlington, VA · Hybrid

$100K - $124K/yr

Perform data extraction, validation, cleansing, transformation, and enrichment using Python (Pandas) and SQL. * Support recurring reporting and analytics workflows by automating manual processes and ...

K.L. Scott & Associates

Data Analyst

Washington, DC · On-site

Write SQL queries to extract, transform, join, summarize, and analyze data for recurring and ad hoc reporting needs. * Support ETL activities, including data extraction, cleansing, transformation ...

K.L. Scott & Associates

Data Analyst

Washington, DC · On-site

Write SQL queries to extract, transform, join, summarize, and analyze data for recurring and ad hoc reporting needs. * Support ETL activities, including data extraction, cleansing, transformation ...

K.L. Scott & Associates

Data Analyst

Washington, DC

Write SQL queries to extract, transform, join, summarize, and analyze data for recurring and ad hoc reporting needs. * Support ETL activities, including data extraction, cleansing, transformation ...

Acumen Solutions

Data Analyst

Mclean, VA

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

9th Way Insignia

Data Analyst

Washington, DC

The Data Analyst is expected to work closely with ETL Developers, Power BI Developers, Power Apps Developers, Technical Project Managers, testers, technical writers, and Government stakeholders to ...

Dev Technology

Senior Data Analyst

Tysons Corner, VA · On-site

$86K - $109K/yr

Ability to access and extract data; clean, transform and prepare data; perform data analysis; and perform statistical measures such as data calculations. * Ability to analyze relationships between ...

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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 skills are needed for data extraction?

Data Extraction Analysts need strong analytical skills, attention to detail, and proficiency with data management tools such as SQL, Excel, or specialized extraction software. Knowledge of programming languages like Python or R and understanding of data structures and databases are also important for efficient data retrieval and processing.

Is 40 too late for data science?

For a Data Extraction Analyst or similar data-related roles, age is generally not a barrier if you have relevant skills such as data analysis, SQL, or Python. Many professionals transition into data science or analytics later in their careers, and continuous learning through certifications or courses can enhance employability regardless of age.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the need for data analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and developing insights that require human judgment and domain expertise. The role continues to evolve, emphasizing skills in data visualization, programming, and understanding AI tools.

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 jobs will boom in 2026?

Data Extraction Analysts are expected to see increased demand as organizations rely more on data-driven decision-making. Skills in data mining, SQL, and automation tools will be valuable, and roles may expand in industries like finance, healthcare, and technology. Continuous learning and certifications in data management can enhance job prospects in this field.

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.
What are popular job titles related to Data Extraction Analyst jobs in Washington? For Data Extraction Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Extraction Analyst jobs in Washington look for? The top searched job categories for Data Extraction Analyst jobs in Washington are:
What cities in Washington are hiring for Data Extraction Analyst jobs? Cities in Washington with the most Data Extraction Analyst job openings:
Data Extraction Analyst jobs near you

Data Analyst

Tekcel8

Laurel, MD • On-site

Other

Posted 15 days ago

Job description

Job Description

We are seeking a motivated Data Analyst with 3+ years of experience in data analysis, reporting, and business intelligence. The ideal candidate will be responsible for transforming data into actionable insights, developing reports and dashboards, and supporting data-driven decision-making across the organization.

Required Skills & Qualifications
  • 3+ years of experience as a Data Analyst or in a similar analytical role.
  • Strong proficiency in SQL for data extraction, analysis, and reporting.
  • Experience with data visualization tools such as Power BI, Tableau, or Looker.
  • Strong knowledge of Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and advanced formulas.
  • Experience analyzing large datasets and identifying trends, patterns, and business insights.
  • Knowledge of data cleansing, validation, and quality assurance processes.
  • Familiarity with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
  • Basic experience with Python or R for data analysis and automation.
  • Understanding of data modeling concepts and reporting best practices.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills with the ability to present findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience with ETL processes and data warehousing concepts.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience working with business intelligence and reporting solutions.
  • Familiarity with statistical analysis and predictive analytics.
  • Exposure to Agile/Scrum methodologies.
  • Industry experience in government, healthcare, finance, or insurance is a plus.
Responsibilities
  • Collect, analyze, and interpret data from multiple sources.
  • Develop and maintain dashboards, reports, and visualizations to support business objectives.
  • Identify trends, anomalies, and opportunities through data analysis.
  • Work closely with business stakeholders to understand reporting requirements.
  • Ensure data accuracy, integrity, and consistency across reporting platforms.
  • Create ad hoc reports and perform data validation as needed.
  • Support data-driven decision-making by providing actionable insights and recommendations.
  • Collaborate with Data Engineers, Business Analysts, and leadership teams on data initiatives.
  • Document data definitions, reporting logic, and business metrics.

Location: Maryland (Hybrid)
Duration: Long-Term Contract
Experience: 3+ Years
Visa: GC-EAD Only

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