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

Collect, process, and analyse data to identify trends and patterns. * Create visualisations and ... Familiarity with programming languages such as Python or R. * Understanding of statistical methods ...

New

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

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 ...

Data Analyst

Richmond, VA · On-site

$62K - $85K/yr

Markel Corporation is seeking a Data Analyst within Markel's Operations Excellence & Reporting team ... Python, Django web framework, Javascript Databricks, Power BI, Jira and React.js * Excellent ...

New

Sr. Data Analyst@ Richmond, VA

Richmond, VA · On-site

$85K - $107K/yr

Role Info: Hands on Data Analyst role with good SQL & Python background. Supporting business resolutions on technical on analytical parameters and data analysis Top Skills: 10+ Yrs of exp is a must ...

Senior Data Analyst

Richmond, VA · On-site

$84K - $106K/yr

We are seeking a highly analytical and detail-oriented Data Analyst with a strong background in ... Python or R is a plus. • Excellent communication skills to present findings to non-technical ...

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

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

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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 27, 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.

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.

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.

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 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:

Infographic showing various Python Data Analyst job openings in Richmond, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,783 per year, or $39.3 per hour.

Data analyst

Colonial Heights, VA • On-site

Full-time

Posted 3 days ago

New


Job description

Overview

We are seeking a talented and detail-oriented individual to join our team, working with data to drive insights and support decision-making processes. The ideal candidate will have a strong analytical background and a passion for translating complex data into actionable information.

Key Responsibilities

  • Collect, process, and analyse data to identify trends and patterns.
  • Create visualisations and reports to communicate findings to stakeholders.
  • Collaborate with various teams to understand their data needs and provide support.
  • Ensure data integrity and accuracy through regular audits and updates.
  • Utilise statistical techniques and tools to enhance data analysis.

Requirements

  • Proven experience in a data analysis role or similar position.
  • Strong proficiency in data analysis tools such as Excel, SQL, and data visualisation software.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data in a clear and concise manner.
  • Strong organisational and time management skills.

Nice to have

  • Experience in the roofing or construction industry.
  • Familiarity with programming languages such as Python or R.
  • Understanding of statistical methods and machine learning techniques.