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Python Data Analyst Jobs in Richmond, VA (NOW HIRING)

PTR Global

Senior Data Science Analyst

Richmond, VA · On-site

$57 - $61/hr

Position: Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote ... Strong scripting experience (Python, shell). * Experience with data virtualization tools (e.g ...

New

AgileEngine

Senior Data Engineer ID75059

Richmond, VA · On-site +1

$104K - $142K/yr

... Python experience is a must); - 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas , Polars , PySpark or DuckDB ; - 2+ years of experience with Big Data ...

Brooksource

Data System Analyst

Richmond, VA · On-site

This role focuses on analyzing asset data and historical records to support engineering studies ... Python coding is preferred. • Exposure to developing small-scale applications or scripts is a ...

McKesson

Manager, Data Analytics

Richmond, VA

The other half is building: writing Python, creating dashboards, designing automations, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

McKesson

Manager, Data Analytics

Richmond, VA

The other half is building: writing Python, creating dashboards, designing automations, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

MCKESSON

Manager, Data Analytics

Richmond, VA

The other half is building: writing Python, creating dashboards, designing automations, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Snowrelic Inc

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

... time analytics and business intelligence capabilities. Key Responsibilities: * Design, build, and maintain scalable data pipelines using Python or shell/bash scripting. * Implement and manage AWS ...

Capital One

Manager, Data Scientist

Richmond, VA · On-site

At least 4 years' experience in Python, Scala, or R for large scale data analysis * At least 4 years' experience with machine learning * At least 4 years' experience with SQL * At least 4 years ...

Key Cyber Solutions

Data Scientist

Richmond, VA · On-site +1

Proficiency in programming languages such as Python or R. * Strong understanding of statistical analysis, data mining, and machine learning algorithms. * Experience with data visualization tools and ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Richmond, VA

Python Data Analyst information

See Richmond, VA salary details

$33.6K

$81.8K

$134.6K

How much do python data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for python data analyst in Richmond, VA is $81,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 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.

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 good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
More about Python Data Analyst jobs
What are popular job titles related to Python Data Analyst jobs in Richmond, VA? For Python Data Analyst jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Richmond, VA look for? The top searched job categories for Python Data Analyst jobs in Richmond, VA are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Richmond, VA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,783 per year, or $39.3 per hour.

Senior Data Science Analyst

PTR Global

Richmond, VA • On-site

$57 - $61/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

Position: Senior Data Science Analyst
Location: Richmond, VA (1 week in office, 1 week remote)
Duration: 12 months
Job ID: 178683
Job Overview:
The Senior Data Science Analyst will play a critical role in designing, building, and optimizing scalable, reliable data pipelines at an enterprise level. This position requires hands-on expertise in data engineering, technical leadership, and a deep understanding of data warehousing, ETL/ELT processes, and advanced analytics. The role involves collaborating with cross-functional teams to ensure high-quality data solutions that meet business needs while adhering to best practices in data governance, security, and performance.
Responsibilities:
  • Design and implement end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases.
  • Develop scalable patterns for batch and incremental processing, focusing on hands-on coding and troubleshooting.
  • Optimize data modeling, transformation logic, and performance strategies.
  • Evaluate and integrate tools, frameworks, and platform capabilities to meet project requirements.
  • Build and maintain high-volume data pipelines using SQL-centric ETL/ELT patterns.
  • Design and implement scalable streaming pipelines for real-time data processing.
  • Ensure data pipelines are resilient, observable, and production-ready with robust error handling and monitoring.
  • Implement standards for data quality checks, validation, and reconciliation.
  • Collaborate with governance and DataOps teams on metadata, lineage, and auditability.
  • Proactively identify opportunities for reliability, performance, and cost optimization.
  • Support production troubleshooting and root cause analysis.
  • Participate in design and code reviews to enforce quality and best practices.
  • Translate ambiguous requirements into well-designed technical solutions.

Qualifications:
  • 5 to 7+ years of Data Engineering experience.
  • Advanced expertise in SQL, ELT patterns, and performance tuning.
  • Strong experience with Oracle Exadata, Snowflake, or similar data warehouses.
  • Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica).
  • Deep understanding of data warehousing architecture and dimensional modeling.
  • Strong scripting experience (Python, shell).
  • Experience with data virtualization tools (e.g., Denodo, Composite, Dremio, Starburst).
  • Experience with DataOps practices, CI/CD, and observability.
  • Ability to work independently and deliver under pressure.
  • Bachelor's degree or higher in Computer Science, Information Systems, or Mathematics.
Preferred Qualifications:
  • Experience supporting AI/ML or advanced analytics pipelines.
  • Cloud platform experience (AWS, Azure, or Google Cloud Platform).
  • Experience influencing enterprise data standards or reference architecture.
  • Experience optimizing cost and performance in cloud data warehouses.
  • Hands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
  • Pay any fee to be considered for, submitted to, or selected for any opportunity.
  • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
  • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $57 - $61/hr. W2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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