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Python Analytics Jobs in Richmond, VA (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Richmond, VA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Elevance Health

Advanced Analytics Consultant

Richmond, VA · On-site

$111K - $167K/yr

Advanced expertise with SAS and/or python or equivalent analytical tools and comprehensive experience with Snowflake, SQL, or equivalent data base tools strongly preferred. For candidates working in ...

Elevance Health

Advanced Analytics Consultant

Richmond, VA · On-site

$111K - $167K/yr

Advanced expertise with SAS and/or python or equivalent analytical tools and comprehensive experience with Snowflake, SQL, or equivalent data base tools strongly preferred. For candidates working in ...

Elevance Health

Advanced Analytics Consultant

Richmond, VA · On-site

$111K - $167K/yr

Advanced expertise with SAS and/or python or equivalent analytical tools and comprehensive experience with Snowflake, SQL, or equivalent data base tools strongly preferred. For candidates working in ...

Elevance Health

Healthcare Analytics Manager

Richmond, VA · On-site

$111K - $167K/yr

SQL skills required, experience other language such as Python preferred * Proven ability to design and execute root cause analyses required * Significant experience in healthcare analytics preferred.

Elevance Health

Healthcare Analytics Manager

Richmond, VA · On-site

$111K - $167K/yr

SQL skills required, experience other language such as Python preferred * Proven ability to design and execute root cause analyses required * Significant experience in healthcare analytics preferred.

Elevance Health

Healthcare Analytics Manager

Richmond, VA · On-site

$111K - $167K/yr

SQL skills required, experience other language such as Python preferred * Proven ability to design and execute root cause analyses required * Significant experience in healthcare analytics preferred.

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All JobsPython Analytics JobsPython Analytics Jobs in Richmond, VA

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$58

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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.
Sr. Consultant/Manager - Analytics Consulting - Banking

Sr. Consultant/Manager - Analytics Consulting - Banking

Tiger Analytics Inc.

Richmond, VA • On-site

Full-time

Re-posted 11 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.
The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.
Responsibilities-
1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.
Requirements
  1. 5+ years of experience in consulting, analytics, risk management roles.
  2. Demonstrated hands-on or solution design experience with Data Science/ Machine Learning algorithms.
  3. Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
  4. Experience with model validation and regulatory compliance related to credit risk, market risk, AML.
  5. Exceptional analytical and problem-solving skills, with a strong attention to detail.
  6. Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.
  7. Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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