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Python Analytics Jobs in Richmond, VA (NOW HIRING)

SmartIPlace

REQ :: Senior Data Analyst

Richmond, VA · On-site

$45 - $50/hr

Experience Requirements * 80% SQL (database program languages), 20% python (not required) * Data analysis, manipulation and exploration, problem solving * Dashboard creation is nice to have, not need ...

Dexter Systems Inc

VRS - System Analyst 4

Richmond, VA · On-site

$85 - $90/hr

SQL * Python * SQL Server Reporting Services (SSRS) * Tableau * Power BI * Microsoft Power Automate * Data Analytics * Investment Data Platforms * Financial Systems Ideal Candidate * Strong ...

New

Dexter Systems Inc

VRS - System Analyst 4

Richmond, VA · On-site

$85 - $90/hr

SQL * Python * SQL Server Reporting Services (SSRS) * Tableau * Power BI * Microsoft Power Automate * Data Analytics * Investment Data Platforms * Financial Systems Ideal Candidate * Strong ...

New

Dexter Systems Inc

VRS - System Analyst 4

Richmond, VA · On-site

$85 - $90/hr

SQL * Python * SQL Server Reporting Services (SSRS) * Tableau * Power BI * Microsoft Power Automate * Data Analytics * Investment Data Platforms * Financial Systems Ideal Candidate * Strong ...

New

DataSync Inc.

System Analyst

Richmond, VA · On-site

... Python Programming • SQL Server Reporting Services (SSRS) • Tableau • Power BI • Microsoft Power Automate (RPA) • Investment or Financial Services Industry Experience • Data Analysis and ...

New

Capital One

Principal Data Analyst

Richmond, VA

Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ... analytics, or, a Master's Degree plus at least 3 years performing data analytics with an ...

Danaher

Digital Analyst Internships

Richmond, VA · On-site

$97K - $115K/yr

... like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Richmond, VA

$97K - $115K/yr

... like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

New

Brooksource

Data System Analyst

Richmond, VA · On-site

... analytics, and operational decision-making. This role focuses on analyzing asset data and ... Python coding is preferred. • Exposure to developing small-scale applications or scripts is a ...

Capital One

Senior Data Analyst

Richmond, VA · On-site

$85K - $107K/yr

Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ... analytics, or currently has, or is in the process of obtaining a Master's Degree with an ...

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All JobsPython Analytics JobsPython Analytics Jobs in Richmond, VA

Python Analytics information

See Richmond, VA salary details

$13

$58

$85

How much do python analytics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python analytics in Richmond, VA is $58.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in Richmond, VA? For Python Analytics jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Richmond, VA look for? The top searched job categories for Python Analytics jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Python Analytics jobs? Cities near Richmond, VA with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Richmond, VA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $120,668 per year, or $58 per hour.

Data Analyst

Texas State Library and Archives Commision

Chesterfield, VA • On-site

Full-time

Re-posted 13 days ago

Job description

Responsibilities:
- Collaborate with internal teams to understand data needs and objectives.
- Extract, clean, and transform data from diverse sources for analysis.
- Perform data analysis to identify trends, patterns, and anomalies.
- Examine data quality, applications, and functions to ensure accurate migration.
- Produce output and sustain operation of data migration processes.
- Research new data sources and analytical tools for improved migration strategies.
- Contribute to new product development and enhancements in data delivery and presentation.
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Generate visualizations and reports for stakeholders.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Collaborate with the LEAMS team to perform a proper audit of active files during the migration.
Qualifications:
- Proven experience as a Data Analyst or related role.
- Technical expertise regarding data models, database design, data mining, and segmentation techniques.
- Strong knowledge of and experience with reporting packages and databases (SQL, etc.).
- Proficient in programming languages (Python, R, etc.) is a plus.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting findings.
- Strong knowledge in Microsoft Office with emphasis on Microsoft Excel.

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