1

Python Data Analyst Jobs in Virginia (NOW HIRING)

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 ...

Sr Data Analyst

Reston, VA

$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 ...

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 ...

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 ...

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 ...

Exposure to scripting languages (e.g., Python, R) for data wrangling and analysis. AMERICAN SYSTEMS is committed to pay transparency for our applicants and employee-owners. The salary range for this ...

Exposure to scripting languages (e.g., Python, R) for data wrangling and analysis. Pay Transparency Statement AMERICAN SYSTEMS is committed to pay transparency for our applicants and employee-owners.

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of ... Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ...

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of ... Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ...

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of ... Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ...

Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 7+ years of experience with analyzing structured and ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and integrating large biomedical or genomic datasets * Strong ...

Senior Data Analyst

VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical ... Languages: SQL, R, Python, Java * Active TS/SCI clearance with polygraph required ...

Experience with programming languages such as Python, R, or SQL . * Experience with data analysis and visualization tools (e.g., Pandas, Tableau, Power BI, or similar). * Experience analyzing ...

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical ... Languages: SQL, R, Python, Java * Active TS/SCI clearance with polygraph required ...

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.

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 Virginia? The most popular types of Python Data Analyst jobs in Virginia 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:
Data Analyst

Full-time

Medical, Retirement, PTO

Posted 19 days ago


Job description

Job Title: Data Analyst
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
* * *
The Opportunity:
The CIS program supports our intelligence customer deliver IT services to conduct its globally distributed operations. We are driving an exciting technological transformation of customer IT services by leading the design, development, implementation, and operation of cutting-edge solutions. This includes continuous service improvement through the modernization of IT system infrastructure.
CACI is looking for an experienced, innovative, and motivated Data Analyst/Visualization Engineer to support the mission objectives and needs of the customer, the Defense Intelligence Agency.
The position is contingent upon award of the DIA SITE III CIO Infrastructure Services (CIS) contract.
Responsibilities:
  • Responsible for process and technology improvement recommendations using current ITSM, asset, and system lifecycle data
  • Provides data management analysis in support of acquiring, collecting, extracting, integrating, inspecting, cleaning, and modeling data from a variety of program and enterprise sources
  • Develops and implements data and graphic visualizations using standard design tools Microsoft Office Suite; uses Tableau or similar platforms to maintain dashboards
  • Provides project input, updates, and standings to cover current and future operations and projects
  • Provides data-backed collaboration on schedules, project scope, implementation timing, and prior execution as basis for future success
  • Create compelling data visualizations that effectively communicate complex insights to both technical and non-technical stakeholders
  • Present findings and strategic recommendations to stakeholders in a clear and actionable manner
  • Work closely with cross-functional teams to understand business needs in cybersecurity, compliance, operations, and engineering

Qualifications:
Required:
  • Must hold a current Top Secret SCI clearance with ability to obtain poly prior to start
  • An AS/AA and 14+ years of experience, BS/BA and 12+ years of experience, MS/MA and 10+ years of experience, or PhD and 8+ years of experience
  • Minimum of 5 years in data analysis experience
  • Current DoD 8140 - IAT II Certification (e.g. CompTIA Security+)
  • Demonstrated experience in collecting, acquiring, extracting, integrating, inspecting, cleaning, and modeling data
  • Possess knowledge and experience with data analysis and data technical expertise in data management, engineering, and science
  • Proven proficiency in Python, R, and SQL
  • Hands-on experience with machine learning, predictive modeling, and data mining techniques
  • Deep experience with Tableau, including scripting, automation, performance optimization, and integrating with various data sources (SQL databases, cloud platforms, etc.)
  • Experience with data warehousing concepts and relational databases
  • Proficient understanding of data governance and security best practices
  • Excellent communication, teamwork, leadership and conflict management, and critical thinking skills
  • Willingness to learn new skills and new technologies.

Desired:
  • Degree in relevant field such as data science, statistics, mathematics, or computer science
  • Experience within the Intelligence Community
  • Proven ability to work independently and manage multiple projects simultaneously
  • ITIL 4 Foundation Certification

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$103,800 - $218,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.