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Data Analyst Data Science Jobs in Washington (NOW HIRING)

K.L. Scott & Associates

Data Analyst

Washington, DC · On-site

Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Finance, Statistics, Mathematics, Computer Science, or an equivalent field. * At ...

K.L. Scott & Associates

Data Analyst

Washington, DC · On-site

Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Finance, Statistics, Mathematics, Computer Science, or an equivalent field. * At ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... You will develop and maintain NIH databases, build analytical tools, support computational modeling ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$90 - $120/hr

In this role, you will provide computational, data science, and bioinformatics support for Office ... You will develop and maintain NIH databases, build analytical tools, support computational modeling ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

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 ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

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 ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

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 ...

Booz Allen Hamilton

Data Analyst

Arlington, VA · On-site

$62 - $141/hr

Bachelor's degree in Mathematics, Statistics, Business, Law, Engineering, Social Sciences, Physical ... data analysis or data visualization with Power BI, Excel, or Tableau preferred * Experience with ...

Cymertek Corporation

Data Analyst

Chantilly, VA · On-site

$65 - $95/hr

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Washington

Data Analyst Data Science information

See Washington salary details

$15

$42

$73

How much do data analyst data science jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analyst data science in Washington is $42.75, according to ZipRecruiter salary data. Most workers in this role earn between $30.82 and $51.83 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Washington?

For Data Analyst Data Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Washington look for?

The top searched job categories for Data Analyst Data Science jobs in Washington are:

What cities in Washington are hiring for Data Analyst Data Science jobs?

Cities in Washington with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $88,924 per year, or $42.8 per hour.

Data Analyst

K.L. Scott & Associates

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 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 Data Analyst with at least 3+ years of experience in data analytics to support a federal client in analyzing data, developing datasets, building dashboards, and preparing visualizations and reports that help client leadership make informed decisions. This role will work with business analysts, senior data analysts, dashboard developers, and federal stakeholders to translate reporting needs into clear, accurate, and useful analytical products.
Data Analyst
The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public safety agency is a plus.
The ideal candidate will reside in or within commutable distance to Washington DC.
Key Responsibilities:
  • Support data analysis efforts by collecting, cleaning, validating, and preparing data from multiple source systems for dashboards, reports, and visualizations.
  • 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, quality checks, and documentation of business rules.
  • Build and maintain datasets used for dashboards, data visuals, performance reports, and analytical deliverables.
  • Develop dashboards, reports, charts, and visualizations using Power BI, and other BI or reporting tools.
  • Integrate Python into Power BI for highly customizable and complex statistical visualizations
  • Create ad hoc reports and analytical summaries in response to client stakeholder and project team requests.
  • Work with business analysts and client stakeholders to understand reporting requirements, metrics, data definitions, and intended dashboard use cases.
  • Perform data quality reviews, identify anomalies or inconsistencies, and support resolution of data issues.
  • Assist with dashboard testing, user acceptance testing, validation, and refinement based on stakeholder feedback.
  • Prepare clear documentation, including data dictionaries, metric definitions, report logic, source-to-target notes, and dashboard user guidance.
  • Collaborate with senior data analysts, internal data teams, and dashboard developers to ensure analytical outputs are accurate, useful, and aligned with client priorities.
  • Present analysis, findings, and dashboard functionality to technical and non-technical audiences as needed.
  • Support continuous improvement of reporting processes, dashboard usability, and data analysis workflows.

Required Qualifications:
  • Minimum of 3+ years of experience in data analysis, reporting, business intelligence, dashboard development, or a related analytical role.
  • Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Finance, Statistics, Mathematics, Computer Science, or an equivalent field.
  • At least two years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
  • At least two years of experience writing complex SQL queries to extract, join, transform, and analyze data from relational databases or structured data sources.
  • At least two years of writing complex DAX and M-language formulas involving financial data
  • At least two years of experience in finance or accounting
  • Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)
  • Experience automating workflows
  • Experience working with multiple data sources and preparing datasets for reporting, dashboards, or business intelligence products.
  • Experience supporting ETL/ELT, data cleansing, data validation, and data quality review activities.
  • Experience developing dashboards, reports, and visualizations using Power BI, or similar BI tools.
  • Understanding of data visualization concepts, dashboard design principles, and reporting best practices.
  • Ability to build ad hoc reports and summarize analytical findings for stakeholders.
  • Strong written and verbal communication skills.
  • Ability to work effectively with federal clients, business analysts, senior data analysts, dashboard developers, and technical teams.
  • Strong attention to detail, organizational skills, and ability to manage multiple analytical tasks in a 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, homeland security, emergency management, or related mission environments.
  • Expert in Python, SQL, and Power BI DAX
  • Expert in financial modeling and forecasting
  • Expert in ETL/ELT processes
  • Experience in BASH commands and PowerShell
  • Experience working in government consulting or public sector analytics environments.
  • Experience with additional BI, reporting, database, or data preparation tools.
  • Familiarity with data dictionaries, data lineage, metric documentation, and data governance practices.
  • Experience supporting executive-level dashboards, operational performance reporting, or mission-focused analytics.
  • Familiarity with Agile, hybrid, or iterative project delivery environments.

Desired Skills and Competencies
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Solid Python, SQL, DAX, data preparation, dashboarding, and data visualization capabilities.
  • Ability to turn business and reporting needs into accurate datasets, charts, reports, and dashboard outputs.
  • Strong communication skills and ability to explain analytical findings to technical and non-technical audiences.
  • Strong attention to detail and commitment to data quality and documentation.
  • Ability to collaborate effectively with senior analysts, business analysts, federal stakeholders, and technical teams.
  • Willingness to learn, receive mentorship, and contribute to team standards and repeatable analytical practices.

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 collaboration with client stakeholders, public safety subject matter experts, business analysts, senior data analysts, dashboard developers, and project leadership. The Data Analyst will help transform raw data into usable datasets, dashboards, reports, and visual insights that support operational and 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.

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