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Data Extraction Analyst Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

Data Analyst

Bethesda, MD · On-site

$80K - $95K/yr

POSITION SUMMARY The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and reporting. This role also drives internal data analysis for firm operations and ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Analyst

Washington, DC · On-site +1

$102K - $133K/yr

You will perform the following duties: - Develop methods to extract and analyze data from CSN or from data obtained during the course of investigations and to transmit this information to the ...

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Showing results 1-20

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.
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:
Infographic showing various Data Extraction Analyst job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.
Senior Data Analyst

Senior Data Analyst

K.L. Scott & Associates

Washington, DC

$97K - $122K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Company Overview

K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions.

Position Overview

We are seeking a Senior Data Analyst with at least 7+ years of experience in data analytics to support a federal client in designing, developing, and delivering data-driven decision-support products. This role will focus on extracting data from multiple source systems, building trusted datasets, developing SQL queries and ETL logic, and producing complex analysis, dashboards, and visualizations for client leadership.

Senior Data Analyst

The Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts, data analysts, and dashboard developers. The ideal candidate is a strong communicator, an experienced hands-on analyst, and a collaborative team lead who can mentor junior analysts and lead small project teams.

The ideal candidate will reside in or within commutable distance to Washington DC.

Key Responsibilities: 

  • Lead complex data analysis efforts to identify trends, patterns, risks, performance drivers, and actionable insights that support federal client leadership decisions.
  • 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, scripts, and data logic used to support dashboards, ad hoc reports, and recurring decision-support products.
  • Utilize Python scripting for ETL processes, including data extraction, cleansing, transformation, validation, and preparation for downstream analysis and visualization.
  • Design and build curated datasets, data models, and data structures that support accurate, repeatable, and scalable reporting.
  • Develop dashboards, data visuals, and business intelligence products using Power BI, and other BI tools.
  • Integrate Python into Power BI for highly customizable and complex statistical visualizations
  • Build ad hoc reports and analytical products in response to client leadership, operational, and program management needs.
  • Partner with federal client stakeholders, public safety subject matter experts, business analysts, and internal data teams to define metrics, KPIs, reporting requirements, and data definitions.
  • Translate complex data findings into clear narratives, visuals, and recommendations for technical and non-technical audiences.
  • Perform data quality checks, data profiling, reconciliation, and validation to ensure accuracy and reliability of reporting outputs.
  • Lead small project teams, coordinate analytical workstreams, assign tasks, monitor progress, and communicate risks, issues, and status to project leadership.
  • Mentor junior data analysts by reviewing work products, sharing analytical best practices, supporting skill development, and promoting consistent documentation standards.
  • Support user acceptance testing, dashboard validation, defect resolution, and stakeholder feedback cycles.
  • Create and maintain documentation, including data dictionaries, business rules, analytical assumptions, data lineage notes, and dashboard user guidance.
  • Identify opportunities to improve data processes, dashboard usability, automation, reporting consistency, and analytical efficiency.

Required Qualifications: 

  • Minimum of 7+ years of experience in data analytics, data science, business intelligence, reporting, data engineering, or a related analytical role.
  • Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Computer Science, Statistics, Mathematics, Finance, or an equivalent field.
  • At least three years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
  • At least three years of writing complex DAX and M-language formulas involving financial data
  • At least five years of experience in finance or accounting
  • Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)
  • Experience automating workflows
  • Hands-on experience extracting data from multiple source systems and developing datasets for dashboarding, reporting, and analysis.
  • Strong experience writing and optimizing SQL queries for data extraction, analysis, transformation, and reporting.
  • Experience coding or supporting ETL processes, including data cleansing, transformation, validation, and integration.
  • Experience developing dashboards and visualizations in Tableau and Power BI.
  • Experience with business intelligence tools, data visualization concepts, dashboard design, and reporting best practices.
  • Ability to conduct complex data analysis and communicate findings clearly to client leadership and technical teams.
  • Experience building ad hoc reports and recurring analytical deliverables for decision support.
  • Experience leading small teams or analytical workstreams.
  • Strong written and verbal communication skills, including the ability to explain data concepts to non-technical stakeholders.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, client-facing environment.
  • Must be in-person in Washington, D.C. 5 days a week.
  • Must have or be able to obtain full scope background investigation and clearance.

Preferred Qualifications: 

  • Experience supporting federal clients, particularly federal public safety, law enforcement, emergency management, homeland security, or related mission environments.
  • Expert in Python, SQL, and Power BI DAX
  • Expert in financial modeling and forecasting
  • Expert in ETL/ELT processes
  • Expert in BASH commands and PowerShell
  • Experience working in government consulting, federal data modernization, or mission analytics environments.
  • Experience with additional BI, reporting, or analytics tools beyond Tableau and Power BI.
  • Experience with dashboard performance optimization, data governance, data quality frameworks, or data management best practices.
  • Familiarity with Agile, hybrid, or iterative delivery methods.
  • Experience developing executive-level dashboards, operational performance dashboards, or public safety decision-support products.

Desired Skills & Competencies:

  • Advanced analytical thinking and ability to connect data findings to mission and business decisions.
  • Expert in Python, SQL, DAX, ETL/ELT, dataset development, dashboarding, and data visualization skills.
  • Ability to lead small teams while remaining hands-on with data analysis and BI development.
  • Strong stakeholder engagement and presentation skills.
  • Ability to mentor analysts and promote consistent analytical standards.
  • High attention to detail and commitment to data quality, documentation, and repeatable analytical methods.
  • Collaborative mindset and ability to work effectively with federal clients, public safety stakeholders, business analysts, data analysts, and technical teams.

Benefits:

  • Competitive salary
  • Health, dental, and vision insurance
  • 401K
  • "Discretionary" PTO
  • Professional development opportunities
  • A dynamic and collaborative work environment

Working Environment:

This role will support a federal client and requires regular collaboration with client stakeholders, public safety subject matter experts, business analysts, data analysts, dashboard developers, and project leadership. The Senior Data Analyst will play a key role in turning complex data into trusted dashboards, data visuals, reports, and insights that support client leadership decision-making.

If you are a results-driven professional and have the above qualifications, we encourage you to apply for this position.  Join our team and contribute to our continued growth and success.  To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role.

K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply. We thank all applicants for their interest, but only those selected for an interview will be contacted.