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Python Analytics Jobs in Richmond, VA (NOW HIRING)

McKesson

Manager, Data Analytics

Richmond, VA

The other half is building: writing Python, creating dashboards, designing automations, and ... those into analytics and automation solutions * Build and maintain dashboards and self-service ...

MCKESSON

Manager, Data Analytics

Richmond, VA

The other half is building: writing Python, creating dashboards, designing automations, and ... those into analytics and automation solutions * Build and maintain dashboards and self-service ...

New

McKesson

Manager, Data Analytics

Richmond, VA

The other half is building: writing Python, creating dashboards, designing automations, and ... those into analytics and automation solutions * Build and maintain dashboards and self-service ...

Palnar

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 ...

Varsity Tutors

Business Analytics Tutor

Richmond, VA · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Innosoul inc

Business Analyst

Richmond, VA · On-site

VA-806546 Hybrid/Local VA Govt Business Systems Analyst (15+) with BPR, SQL Server/python, Tableau/Power BI, data visualization, Power Automate, financial experience Location: Richmond, VA (VRS ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Working knowledge of Python for scripting, automation, and data transformation Engineering Rigor ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Working knowledge of Python for scripting, automation, and data transformation Engineering Rigor ...

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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 16, 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 Database Administrator (HYBRID--Richmond, VA)

Sr Database Administrator (HYBRID--Richmond, VA)

Atlantic Union Bank

Glen Allen, VA • On-site

$43.36 - $72.38/hr

Full-time

Re-posted 11 days ago

Atlantic Union Bank rating

7.2

Company rating: 7.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

103rd of 149 rated banks

Job description

The Senior Database Administrator (DBA) is a senior technical role responsible for the design, implementation, administration, and optimization of the organization's Microsoft SQL Server and PostgreSQL database environments. This role maintains the stability, integrity, and performance of all production and non-production database systems while actively contributing to the design and development of database solutions supporting the Enterprise Data Warehouse and operational applications. The Senior DBA collaborates closely with Software Engineers, Data Engineers, Data Architects, and Infrastructure teams to deliver reliable, scalable data storage and movement solutions. As the organization transitions toward cloud-hosted infrastructure, this role will play a key part in planning and executing that migration while maintaining on-premises environments.
Position Accountabilities
Database Administration & Operations
  • Administer, monitor, and maintain MS SQL Server (primary) and PostgreSQL (secondary) database environments across development, QA, and production.
  • Manage and optimize query performance through index tuning, execution plan analysis, statistics management, and query rewrites.
  • Implement and maintain database security, including role-based access control, auditing, and encryption at rest and in transit.
  • Manage database capacity planning, storage allocation, and growth forecasting.
  • Perform routine database maintenance including integrity checks, index rebuilding/reorganization, and statistics updates.
High Availability, Disaster Recovery & Replication
  • Design, implement, and maintain HA/DR solutions including SQL Server Always On Availability Groups, Failover Clustering, and PostgreSQL Streaming Replication.
  • Develop and maintain comprehensive backup and recovery strategies; conduct regular recovery testing to validate RPO/RTO objectives.
  • Configure and manage log shipping, database mirroring, and replication topologies as appropriate.
  • Maintain and test disaster recovery runbooks and failover procedures.
Database Development & Architecture
  • Collaborate with application and data engineering teams on schema design, data modeling, and database object development (stored procedures, functions, views, triggers).
  • Design and develop ETL/ELT pipelines and data movement solutions using T-SQL, PL/pgSQL, and Python.
  • Analyze data requirements and translate them into optimized, scalable database designs consistent with enterprise data warehouse best practices.
  • Review and validate database-related code from development teams; participate in code reviews and enforce standards.
  • Develop and maintain data dictionaries, database documentation, and architectural diagrams.
Infrastructure & Cloud Readiness
  • Manage on-premises database infrastructure including patching, upgrades, and configuration management.
  • Support cloud readiness initiatives; contribute to planning and executing database migrations to cloud platforms (Azure SQL, AWS RDS/Aurora, or equivalent).
  • Work with IaC tooling (Terraform or equivalent) to define and version-control database infrastructure.
  • Participate in CI/CD pipeline design for database change management (schema migrations, release automation).
  • Collaborate with infrastructure and DevOps teams on environment provisioning, monitoring, and alerting.
Python & Automation
  • Develop Python-based data pipeline and ETL solutions for data ingestion, transformation, and loading workflows.
  • Write automation scripts for routine DBA tasks including health checks, backup validation, and alerting.
  • Integrate database workflows with orchestration tools and data platform components.
Agile Collaboration & Quality
  • Work within an Agile/Scrum framework; participate in sprint planning, stand-ups, retrospectives, and backlog grooming.
  • Collaborate with cross-functional Agile teams as well as independently managing assigned work items.
  • Perform and coordinate unit and integration testing for database changes.
  • Troubleshoot database application issues and resolve defects in a timely manner.
  • Escalate issues and impediments proactively; communicate clearly in both technical and non-technical terms.
  • Update and maintain database runbooks, standards documentation, and operational procedures.
Position Qualifications
Education & Experience
  • A Bachelor's Degree in Computer Science, Information Systems, or a related field, or equivalent work experience.
  • 10+ years of experience in information technology, preferably within financial services or another highly regulated industry.
  • 7+ years of hands-on database administration experience with MS SQL Server as the primary platform.
  • 3+ years of PostgreSQL administration and development experience.
  • 3+ years of Python development experience focused on data pipelines and ETL.
  • 3+ years of experience working within an Agile environment.
  • Demonstrated experience with HA/DR technologies including Always On Availability Groups, Failover Clustering, and PostgreSQL replication.
  • Experience with infrastructure-as-code tooling (Terraform or equivalent) and CI/CD pipeline participation.
Preferred Qualifications
  • Microsoft Certified: Azure Database Administrator Associate or equivalent SQL Server certification.
  • Experience with cloud database services (Azure SQL Managed Instance, AWS RDS for SQL Server or PostgreSQL, or equivalent).
  • Master's Degree in Computer Science, MIS, or a related technology discipline.
  • Experience with database change management tools (Flyway, Liquibase, or equivalent).
  • Familiarity with data warehouse design patterns and dimensional modeling.
Knowledge & Skills
  • Deep expertise in MS SQL Server internals: query optimizer, locking/blocking, wait statistics, and storage engine.
  • Strong proficiency in T-SQL and PL/pgSQL development and performance tuning.
  • Working knowledge of Python for ETL, data manipulation, and automation tasks.
  • Understanding of networking fundamentals, Windows Server, and Linux as they relate to database hosting.
  • Familiarity with monitoring and observability tooling (SQL Server Profiler, DMVs, pg_stat_*, Prometheus, Grafana, or equivalent).
  • Creative problem solver with excellent communication and collaboration skills.
  • Methodical and structured approach to design, change management, and incident response.
  • Delivery focused with ability to manage competing priorities in a fast-paced environment.
  • Strong attention to detail; proactive, self-starting work style.
  • Business acumen and professionalism appropriate to a regulated financial services environment.
Organizational Relationship
This position reports to the Sr. Data Architect.
Salary offered will be based on several factors including but not limited to education, work experience, certifications, etc. This position is also eligible to participate in either an applicable incentive compensation plan for the position or a discretionary profit sharing bonus program. General information on our comprehensive benefits package can be found by visiting https://www.atlanticunionbank.com/about/careers/benefits.
We are proud to be an Equal Employment Opportunity employer. We maintain a drug-free workplace.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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