1

Python Data Analyst Jobs in Virginia (NOW HIRING)

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Data Analyst

Mclean, VA ยท On-site

Experience with Python for data analysis. * Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar. * Excellent communication skills to collaborate across ...

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

... 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 ยท On-site

$62K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... Knowledge of the Pandas library in Python * Possession of strong stakeholder e nga gement and ...

Data Analyst

Arlington, VA ยท 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 ...

Data Analyst

Mclean, VA ยท On-site

$62K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... Knowledge of the Pandas library in Python * Possession of strong stakeholder e nga gement and ...

Data Analyst

Lorton, VA ยท On-site

$62K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... Knowledge of the Pandas library in Python * Possession of strong stakeholder e nga gement and ...

next page

Showing results 1-20

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.
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 cities in Virginia are hiring for Python Data Analyst jobs? Cities in Virginia with the most Python Data Analyst job openings:
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.
Data Analyst with SAS, Python, SQL

Data Analyst with SAS, Python, SQL

Hexaware Technologies, Inc

Mclean, VA โ€ข On-site

Other

Medical, Retirement

Posted 2 days ago

New


Job description

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage: Your Workplace Benefits

  • Excellent Health benefits with low-cost employee premium.
  • Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
  • Unlimited training and upskilling opportunities through Udemy and Hexavarsity

Who we are?

At Hexaware Technologies, we are a leading global IT Services company, dedicated to driving digital transformation and innovation for businesses around the world. Founded in 1990, Hexaware has grown into a global trusted partner for enterprises, offering comprehensive AI empowered services including IT Consulting, Application Development, Infrastructure and Cloud Management and Business Process services.

At Hexaware we are a community of creative, diverse, and open-minded Hexawarians creating smiles through the power of great people and technology.

We pride ourselves on our people-centric culture and commitment to sustainability. Our diverse team of over 30,000 professionals across 30 countries is driven by a shared passion for innovation and excellence. We foster a collaborative environment where creativity and continuous learning are encouraged, enabling our employees to thrive and grow.

What would you do?

Role : Data Analyst with Strong SQL, SAS, Python

Location: McLean, VA (5 Days Onsite)


Role Summary

You will analyze, transform, and interpret complex datasets to generate actionable insights that drive business decisions. The role emphasizes hands-on data extraction with SQL, statistical analysis and automation using SAS and Python, and delivering reliable reporting and dashboards to stakeholders.

Responsibilities

  • Data extraction and preparation
    • Write efficient SQL (joins, CTEs, window functions) to extract and aggregate data from relational databases.
    • Build and maintain ETL/ELT workflows using Python (pandas) and SAS (DATA steps, PROC SQL).
    • Clean, standardize, and validate datasets; implement data quality checks and reconciliation routines.
  • Analysis and modeling
    • Perform exploratory data analysis and descriptive statistics.
    • Conduct statistical testing and basic predictive modeling in SAS/Python (e.g., regression, classification where applicable).
    • Translate ambiguous business questions into analytical approaches and measurable metrics.
  • Reporting and visualization
    • Develop automated reports and dashboards (e.g., SAS Visual Analytics, Tableau, Power BI).
    • Create clear visual narratives and documentation that communicate insights and recommendations.
  • Automation and optimization
    • Automate recurring analyses and reporting using SAS macros and Python scripts.
    • Optimize SQL queries, SAS jobs, and Python data pipelines for performance and scalability.
    • Schedule and monitor recurring jobs using enterprise schedulers or cron.
  • Stakeholder collaboration
    • Partner with business, product, and engineering teams to define requirements and deliver insights on time.
    • Present findings and recommendations in a clear, business-oriented manner.
    • Maintain thorough documentation and adhere to version control (Git) and data governance standards.

Required Qualifications

  • Bachelor s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics) or equivalent practical experience.
  • Hands-on experience in a data analyst or similar role working with large datasets.
  • Strong proficiency in:
    • SQL: complex joins, window functions, CTEs, query tuning.
    • SAS: Base SAS, PROC SQL, SAS/STAT; experience with macros and SAS Enterprise Guide.
    • Python: pandas, numpy; data wrangling and analysis scripting.

Preferred Qualifications

  • Experience with data visualization tools (SAS Visual Analytics, Tableau, Power BI).
  • Familiarity with data warehousing concepts (star schema, dimensional modeling) and ETL best practices.
  • Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google Cloud Platform BigQuery, Snowflake) and file formats (Parquet, Avro).
  • Basic knowledge of scikit-learn for light ML use cases.
  • Experience with APIs, scripting for data ingestion, and job orchestration tools (e.g., Airflow).
  • Knowledge of data governance, PII handling, and compliance practices.

Core Skills

  • Technical
    • SQL performance tuning and query optimization.
    • SAS programming (DATA step, PROC, macro automation).
    • Python data analysis (pandas) and visualization (matplotlib or seaborn).
    • Git-based version control and collaborative workflows.
  • Analytical
    • EDA, hypothesis testing, experiment design basics.
    • KPI definition, metric design, and business outcome mapping.
    • Root-cause analysis and ability to translate data into decisions.
  • Communication
    • Clear storytelling with data; stakeholder management.
    • Requirements gathering and documentation.

What you ll get from us:

Insert employee benefits here e.g.:

  • Competitive Salary
  • Company Pension Scheme
  • Comprehensive Health Insurance
  • Flexible Work Hours and Hybrid Work Options
  • XX days paid annual holidays + public holidays.
  • Professional Development and Training Opportunities
  • Employee Assistance Program (EAP)
  • Diversity, Equity, and Inclusion Initiatives
  • Company Events and Team-Building Activities

Equal Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.