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Python Data Analyst Jobs in Washington, DC (NOW HIRING)

Sigmatech, Inc.

Data Analyst

Arlington, VA · Hybrid

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Technical Skills: Advanced proficiency in MS Excel (e.g., Power Query, VBA), SQL, and Python.

Infojini Inc

Data Analyst

Linthicum Heights, MD

Lead data warehousing efforts and performing data analysis as needed across sets of transactional ... Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with ...

Ardent

Performance/Data Analyst

Washington, DC

Ardent is seeking a Performance/Data Analyst to join our team. This is a on-site position in ... Utilize tools such as Excel, Python, and R to conduct analysis and reporting activities.

Booz Allen Hamilton

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization, OR 10+ years of experience in data analysis or visualization in ...

ManTech

Data Analyst

Ashburn, VA

Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal communication skills Preferred Qualifications: * A passion for low-level / embedded data/science analytics * Working knowledge ...

Booz Allen Hamilton, Inc.

Data Analyst

Springfield, VA · On-site

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization in lieu of degree Nice If You Have: * Experience in integrating ...

Castellum Inc

Data Analyst (DOJ)

Washington, DC · On-site

$75K - $90K/yr

The Data Analyst will play a critical role in supporting legal and operational teams by running ... Perform advanced analytics and automation using SQL, Python, and SSIS to ensure optimal system ...

Booz Allen Hamilton, Inc.

Data Analyst

Springfield, VA · On-site

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization, OR 10+ years of experience in data analysis or visualization in ...

Booz Allen Hamilton

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization, OR 10+ years of experience in data analysis or visualization in ...

ManTech International

Data Analyst

Ashburn, VA · On-site

Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal communication skills Preferred Qualifications: * A passion for low-level / embedded data/science analytics * Working knowledge ...

DS Technologies Inc

Technical Data Analyst

Mclean, VA · On-site

Data Analytics / Business Intelligence Overview: We are seeking a Senior Technical Data Analyst ... Analyze logs and execute Python scripts from the command line * Work with Agile teams to define ...

The Midtown Group

Be Seen First

Part-Time Data Analyst

Arlington, VA · On-site

$65/hr

Utilize programming languages including SQL, Python, R, and JavaScript to develop datasets ... Analyze and support Extraction, Transformation, and Load (ETL) processes and data integration ...

Lynch Consultants, LLC

Data Analyst

Camp Springs, MD · On-site

$75K - $89K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

MetaPhase Consulting

Data Analyst

Washington, DC · On-site

Customs and Border Protection (CBP) through data-driven analysis, reporting, and operational ... Experience with SharePoint, Power Automate, Python, or similar automation/reporting tools Work ...

MetaPhase Consulting

Data Analyst

Washington, DC

Customs and Border Protection (CBP) through data-driven analysis, reporting, and operational ... Experience with SharePoint, Power Automate, Python, or similar automation/reporting tools Work ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages * Develop and update user support materials, websites, and training resources * Ensure all published ...

TriOptus LLC

Senior Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

Role Summary We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics ... in Python, and deliver executive-ready insights through Tableau and Power BI. You will also ...

Booz Allen Hamilton, Inc.

Data Analyst

Washington, DC · On-site

$62K - $141K/yr

... Python, R, or SQL, for data manipulation and analysis * 2+ years of experience with data engineering in Databricks or Spark * Experience using Microsoft Office 365 Suite applications, such as Word ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Washington, DC

Python Data Analyst information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do python data analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for python data analyst in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Washington, DC? The most popular types of Python Data Analyst jobs in Washington, DC are:
What are popular job titles related to Python Data Analyst jobs in Washington, DC? For Python Data Analyst jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Washington, DC look for? The top searched job categories for Python Data Analyst jobs in Washington, DC are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Washington, DC as of June 2026, with employment types broken down into 3% As Needed, 40% Full Time, 47% Part Time, 9% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.
Data Analyst

Data Analyst

Sigmatech, Inc.

Arlington, VA • Hybrid

Full-time

Posted 27 days ago

Job description

About Our Organization

DASA DE&C manages the Army's Security Assistance and Armaments Cooperation programs that engage allies and partners across the full spectrum of Army acquisition to achieve force dominance. We lead the U.S. Army Security Assistance Enterprise (ASAE), providing leadership, resource management and policy oversight. We build the capabilities of allies and partners, strengthen relationships with our foreign partners, and strengthen the U.S. industrial base.

Position Overview

As a Data Analyst, you will lead complex analytical projects and advise IAD leadership on the development and execution of enterprise data strategies. Your primary function is to analyze how the directorate uses data and recommend improvements to its processes, systems, and strategies. You will oversee projects to modernize data infrastructure, lead initiatives to enhance data-driven insights, and mentor other analysts on best practices. This position requires a unique blend of technical data expertise, strategic thinking, and the ability to advise senior leaders on transforming complex data into actionable organizational improvements.

Core Duties and Responsibilities

  • Strategic Advisory & Stakeholder Engagement: Serve as a strategic advisor to Army and DoD leadership, providing actionable insights and recommendations to improve enterprise-level decision-making processes. Build and maintain strong working relationships with OSD, industry partners, and the ASAE. Represent IAD's analytical capabilities in high-level engagements and cross-functional working groups.
  • Enterprise Analytics & Process Improvement: Conduct in-depth analysis of demand forecasting, production data, and resource planning to identify opportunities for organizational improvement. Lead projects to enhance automated workflows for data transformation, validation, and ingestion into Army and OSD platforms such as Vantage and Advana.
  • Organizational Enablement & Innovation: Advise on the design and development of innovative data applications and tools to replace legacy systems, improving efficiency and data accessibility. Identify and recommend process improvements across the data lifecycle, and support user adoption of new tools and methods to align data initiatives with mission objectives.

Essential Requirements

  • Security Clearance: Must possess and maintain an active Secret security clearance.
  • Education: Bachelor's degree in a Science, Technology, Engineering, Math (STEM), Business, or a related field.
  • Experience: A minimum of six (6) years of professional experience in data analytics, business analysis, or a related field.
  • Technical Skills: Advanced proficiency in MS Excel (e.g., Power Query, VBA), SQL, and Python. Experience building and maintaining dashboards (e.g., Tableau, Qlik Sense, Power BI) and automating reporting pipelines.
  • Leadership & Communication: Demonstrated ability to lead technical projects, manage complex stakeholder relationships, and communicate analytical concepts effectively to senior leaders.

Preferred Qualifications

  • Experience: Previous experience working within the U.S. Government (Army preferred). Experience leading cross-functional data projects.
  • Certifications: Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business analytics.
  • Domain Knowledge: Familiarity with Army acquisition processes, security cooperation programs, or defense industry practices.

Work Environment

  • Location: Arlington, VA.
  • Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY).
  • Schedule: This is a hybrid position requiring residency in the Washington D.C. metropolitan area.
  • Collaboration: Regardless of physical location, all team members are required to maintain a full virtual presence and actively participate in team meetings, discussions, and collaborative efforts via MS Teams, or other collaborative applications as directed during core business hours.