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

Working proficiency in Python for data manipulation and analysis (pandas, requests, standard ETL libraries). * Experience designing and operating ETL pipelines against multiple source types (APIs ...

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends. * Assist in the evaluation of training opportunities and provide basic recommendations. * Support the ...

Data Analyst

MD · On-site

... data analysis, provide cost savings, and accelerate audit-ready timelines ... Skills: Strong analytical and programming skills (Python/Pyspark, SQL, etc.) to parse, analyze ...

... Python, Java, Qlik, or similar data science and engineering languages. * Design, develop, and ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

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 ...

Sr. Data Analyst

Washington, DC · On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A mission-driven ... Using Python, SQL, and related tools to configure and optimize data pipelines * Managing ...

Preferred Experiencewith Python or R for data manipulation and analysis. Familiaritywith cloud ... based data platforms (Snowflake, Databricks). Understandingof data governance and quality assurance ...

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Govini technology and data

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data Visualization Tools: Hands-on ...

Preferred Experiencewith Python or R for data manipulation and analysis. Familiaritywith cloud ... based data platforms (Snowflake, Databricks). Understandingof data governance and quality assurance ...

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Govini technology and data

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. • Data Visualization Tools: Hands-on ...

Handson experience with data wrangling and analysis in R or Python. * Excellent communication and collaboration skills with the ability to work effectively on crossfunctional teams. What We Offer:

Sr. Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

Strong data warehouse and analytics background Create business requirement documentation (BRD ... Python is is must have they need to be able to read existing code but they won't be coding anything ...

Data Analyst

Rockville, MD · On-site

$67K - $88K/yr

The Data Analyst will be responsible for processing, interpreting, and analyzing complex datasets ... Experience with Excel, Python, R, and SmartSheets preferred. * Experience with data visualization ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Utilize Python scripting for ETL processes, including data extraction, cleansing, transformation, validation, and preparation for downstream analysis and visualization. * Design and build curated ...

Senior Data Analyst

Washington, DC

$97K - $122K/yr

Utilize Python scripting for ETL processes, including data extraction, cleansing, transformation, validation, and preparation for downstream analysis and visualization. * Design and build curated ...

Senior Data Analyst

Washington, DC

$97K - $122K/yr

Utilize Python scripting for ETL processes, including data extraction, cleansing, transformation, validation, and preparation for downstream analysis and visualization. * Design and build curated ...

Description The Data Analyst is a key member of the project team, working under occasional ... Python (pandas, NumPy, matplotlib, seaborn) and/or R. * Visualization: Tableau, Power BI, Plotly ...

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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 20, 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.
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:
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.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Client: Department of Energy (DOE), NNSA Office of Strategic Planning and Analysis (NA-183)

Contract: Technical Support Services

Location: Washington, D.C.

Security Clearance: DOE Q or DOD TS (may require SCI)

OVERVIEW

The Data Analyst will develop and maintain analytic products, dashboards, and ETL pipelines informing nuclear industrial base assessments, at-risk materials monitoring, CFIUS reviews, and emerging technology evaluations. Work is analyst-driven and directly informs senior government decision-makers.

KEY RESPONSIBILITIES

  • Design, build, and maintain interactive dashboards and visualizations in Power BI to support recurring and ad hoc analytic requirements.
  • Develop, automate, and document ETL processes across structured and unstructured data sources, including government systems, commercial databases, and open-source feeds.
  • Conduct open-source data stream analysis to identify trends, anomalies, and indicators relevant to nuclear industrial base resilience, supply chain risk, at-risk materials, and foreign investment activity.
  • Produce written analytic products, data summaries, and briefing materials supporting CFIUS case reviews, technology assessments, and related national security evaluations.
  • Write and maintain scripts for data acquisition, transformation, enrichment, and analysis.
  • Integrate disparate datasets into unified analytic environments; perform data quality assurance, deduplication, entity resolution, and normalization.
  • Partner with government leads, subject matter experts, and fellow contractors to translate mission questions into repeatable analytic workflows.
  • Document data sources, methodologies, assumptions, and limitations to standards acceptable for government record and audit.

REQUIRED QUALIFICATIONS

  • Bachelor's degree in data science, statistics, computer science, engineering, economics, international affairs, or a related field. Equivalent experience will be considered.
  • Minimum of 2 years of professional experience in a data analyst, intelligence analyst, or research analyst role.
  • Demonstrated proficiency in Power BI, DAX, Power Query (M), data modeling, and dashboard publication.
  • Working proficiency in Python for data manipulation and analysis (pandas, requests, standard ETL libraries).
  • Experience designing and operating ETL pipelines against multiple source types (APIs, flat files, SQL, web-scraped content).
  • Strong written analytic communication; ability to produce concise products for senior audiences.
  • Active DOE Q or DoD Top Secret clearance at time of hire.
  • U.S. citizenship.
  • Local residence in the DC-MD-VA area.

PREFERRED QUALIFICATIONS

  • Experience supporting DOE, NNSA, DoD, IC, or Treasury customers on national security analytic missions.
  • Subject matter familiarity with any of the following: nuclear industrial base, nuclear fuel cycle, critical and at-risk materials (including rare earths, tritium, HEU/LEU supply chains), CFIUS, export controls, emerging technology assessments (AI/ML, nuclear fuel cycle, quantum, biotech, advanced semiconductors, material characterization).
  • Working proficiency in R for statistical analysis.
  • Experience with open-source intelligence (OSINT) tradecraft, including structured analytic techniques, source evaluation, and foreign-language source triage.
  • Experience with SQL and relational database design.
  • Experience with Azure data services, SharePoint, or Power Platform (Power Automate, Power Apps) integration.
  • Familiarity with supply chain analytics, trade data (Panjiva, ImportGenius, UN Comtrade), corporate registry data (Sayari, Dun & Bradstreet), or patent/publication datasets.
  • Experience with geospatial analysis (ArcGIS, QGIS, or Python geospatial libraries).
  • Graduate degree in a relevant discipline.
  •  

WORK ENVIRONMENT 

Hybrid schedule typically consisting of 3 days at the customer site in Washington, D.C. and 2 days of telework.

About Vector Resources, Inc.

Founded in 1998, Vector Resources Inc, is a professional services company specializing in technical and management services supporting the energy, defense, national security, and advanced technology sectors. We contract directly with Federal and state government agencies as well as private sector organizations. Our clients address a wide range of complex challenges and our experienced team provides innovative, thoughtful, and cost-effective solutions focused on their needs. VRI is proud to offer a comprehensive and flexible benefits package that includes:

  • Competitive Salaries
  • Paid Time Off
  • Healthcare Benefits (Medical, Dental, Vision)
  • 401(k) and 401(k) safe harbor plan with employer contribution of 3%
  • Insurance (Basic Life and AD&D, Dependent, Short-term, Long-term)
  • Tuition Assistance

Find out more about Vector Resources at https://www.vector-resources.com/


Selected applicants are required to submit to drug testing and a background investigation as part of the Department of Energy clearance process.