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Data Analyst Computer Science Jobs in Reston, VA

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 ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field ... Strong background in statistical analysis, data modeling, and computational methods * U.S ...

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 ...

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Bachelor's degree in a technical discipline such as Computer Science, Information Systems ...

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ...

Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ...

Required : • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Operations Research, Economics, or related field. • 3-7 years of experience performing data analysis ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Description Senior Data Analyst Req ID 001-25 v1.0 HazeGrayCyber, LLC is focused on delivering ... in data science, computer science, engineering, mathematics, operations research or another ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical ... PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field ...

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Bachelor's degree in Data Science, Analytics, Intelligence Studies, Statistics, Computer Science, or a related discipline, or equivalent specialized training Desired Qualifications * Experience ...

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Bachelor's degree in Data Science, Analytics, Intelligence Studies, Statistics, Computer Science, or a related discipline, or equivalent specialized training Desired Qualifications * Experience ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ...

Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline * Applicants must be legally authorized to work for VHB in the U.S. without ...

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Bachelor's degree in Data Science, Analytics, Intelligence Studies, Statistics, Computer Science, or a related discipline, or equivalent specialized training Desired Qualifications * Experience ...

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Data Analyst Computer Science information

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How much do data analyst computer science jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data analyst computer science in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What job categories do people searching Data Analyst Computer Science jobs in Reston, VA look for? The top searched job categories for Data Analyst Computer Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Analyst Computer Science jobs? Cities near Reston, VA with the most Data Analyst Computer Science job openings:
Data Analyst

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 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.