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Python Data Analyst Jobs in Virginia (NOW HIRING)

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 ...

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 ...

Booz Allen Hamilton

Cyber Data Analyst

Chantilly, VA · On-site

Job Summary : Booz Allen Hamilton is seeking a Cyber Data Analyst who excels at transforming ... Python, PowerShell, or shell scripting Company : Booz Allen Hamilton is a consulting firm that ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$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 ...

Ryan Specialty

Data Analyst

Richmond, VA

$62K/yr

Experience with Coding language in Python Experience in underwriting analysis. Statistical analysis Data warehouse Ryan Specialty is an Equal Opportunity Employer. We are committed to building and ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data ... Python, R, SQL, GIS, Tableau • Experience developing visualizations to communicate analytical ...

Cymertek

Data Analyst

Tysons, VA · On-site

Data Analyst LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Cymertek

Data Analyst

Chantilly, VA · On-site

Data Analyst LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Cymertek

Data Analyst

Reston, VA · On-site

Data Analyst LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

eSolutionsFirst, LLC

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

... developing analytics software applications, Demonstrated knowledge of: * Python, Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid ...

Ryan Specialty

Data Analyst

Richmond, VA · On-site

$62K/yr

Experience with Coding language in Python Experience in underwriting analysis. Statistical analysis Data warehouse Ryan Specialty is an Equal Opportunity Employer. We are committed to building and ...

TriOptus LLC

Sr Data Analyst

Reston, VA · On-site

$89K - $112K/yr

Creating dashboards, charts, and reports using tools like Excel, SQL, Python, and Tableau to ... Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce ...

Modea

Data Analyst I

Roanoke, VA · On-site +1

Develop growing technical skills as a coder, using SQL, R, or Python to clean, transform, and extract data from established search and analytics APIs. Consulting, Communication, and Account ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Analyst to support the ... Python * R * SQL * GIS * Tableau * Experience developing visualizations to communicate analytical ...

Capital One

Principal Data Analyst

Mclean, VA · On-site

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

CACI International, Inc.

Data Analyst

Chantilly, VA · On-site

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... Proven proficiency in Python, R, and SQL * Hands-on experience with machine learning, predictive ...

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Python Data Analyst information

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because 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.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Virginia? The most popular types of Python Data Analyst jobs in Virginia are:
What are popular job titles related to Python Data Analyst jobs in Virginia? For Python Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Virginia look for? The top searched job categories for Python Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Python Data Analyst jobs? Cities in Virginia with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.
Senior Data Analyst

Senior Data Analyst

TriOptus LLC

Mclean, VA • On-site

$87K - $110K/yr

Full-time

Re-posted 8 days ago

Job description

Job Description:
Role Summary
We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics solutions across
modern data platforms. You will build and optimize datasets in SQL Server, Snowflake, and
Microsoft Fabric, develop analytics in Python, and deliver executive-ready insights through Tableau
and Power BI. You will also leverage Microsoft Copilot and other AI-assisted tools to accelerate
analysis, development, documentation, and stakeholder support-while applying strong validation,
governance, and data quality practices.
Key Responsibilities
• Gather requirements, define KPIs, and translate business needs into scalable analytics
deliverables (datasets, semantic models, dashboards, and insights).
• Write and optimize advanced SQL across SQL Server, Snowflake, and Microsoft
Fabric (Warehouse/Lakehouse).
• Design and maintain analytics-ready data models (dimensional/star schemas, curated
layers, reusable views/tables).
• Build, enhance, and performance-tune dashboards and reporting in Power BI (DAX, Power
Query, semantic models) and Tableau.
• Use Python (e.g., pandas, NumPy; optional scikit-learn/statsmodels) for data wrangling,
statistical analysis, forecasting, experimentation support, and automation.
• Implement data validation and quality controls (reconciliation, anomaly checks, refresh
monitoring, metric certification).
• Develop within Microsoft Fabric using relevant components (e.g., notebooks, Dataflows
Gen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable.
• Leverage Microsoft Copilot and AI tools (e.g., Copilot for Power BI/Fabric/M365 and other
approved assistants) to:
• accelerate SQL/DAX generation and refactoring,
• speed up dashboard prototyping and narrative insights,
• draft documentation and data dictionaries,
• support stakeholder Q&A and self-service enablement,
while ensuring correctness through testing and peer/stakeholder validation.
• Communicate findings clearly, create concise executive narratives, and recommend
actions backed by data.
• Maintain documentation for metric definitions, logic, lineage, and operational runbooks to
support handoff.
Required Skills & Experience
• 7 - 10+ years in data analytics/BI/consulting (or equivalent senior-level experience).
• Advanced SQL expertise (CTEs, window functions, complex joins, query tuning).
• Strong experience with SQL Server (T-SQL) and performance optimization.
• Experience with Snowflake (warehouse concepts, optimization/cost awareness, security
basics).
• Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse concepts;
pipelines/dataflows/notebooks; semantic modeling).
• Strong dashboard development skills in Power BI (DAX, modeling, performance)
and Tableau.
• Proficiency in Python for analytics and automation.
• Demonstrated ability to use AI-assisted tools productively with appropriate guardrails
(validation, privacy, reproducibility).
• Excellent stakeholder management, communication, and independent delivery skills.
Deliverables / Success Measures
• Reliable, documented KPI definitions and curated datasets used consistently across teams.
• High-performing, user-friendly dashboards in Power BI/Tableau with measurable adoption.
• Reduced manual reporting through automation and reusable analytics assets.
• Clear documentation and handoff materials enabling maintainability after contract
completion.

Apply