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Senior Python Data Analysis Jobs in Leesburg, VA

Guidehouse

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Hands-on experience with data wrangling and analysis in R or Python. * Excellent communication and ...

Guidehouse

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Handson experience with data wrangling and analysis in R or Python. * Excellent communication and ...

Beyond SOF

Senior Data Analyst

VA · On-site

$86K - $109K/yr

Develop metrics and analysis for application usage data * Develop real time dashboards for senior ... Languages: SQL, R, Python, Java * Active TS/SCI clearance with polygraph required ...

Inadev

Senior Business Analyst/Data Analysis

Reston, VA

$140K - $150K/yr

The Senior Business Analyst/Data Analysis leads requirements and analysis for delivery. You will elicit and document complex requirements, translate business needs into user stories and acceptance ...

Inadev

Senior Business Analyst/Data Analysis

Reston, VA · On-site

$140K - $150K/yr

The Senior Business Analyst/Data Analysis leads requirements and analysis for delivery. You will elicit and document complex requirements, translate business needs into user stories and acceptance ...

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All JobsPython Data Analysis JobsSenior Python Data Analysis JobsSenior Python Data Analysis Jobs in Leesburg, VA

Senior Python Data Analysis information

See Leesburg, VA salary details

$55.6K

$143.6K

$197.2K

How much do senior python data analysis jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior python data analysis in Leesburg, VA is $143,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $165,400.00 per year, depending on experience, location, and employer.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are popular job titles related to Senior Python Data Analysis jobs in Leesburg, VA?

For Senior Python Data Analysis jobs in Leesburg, VA, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Leesburg, VA look for?

The top searched job categories for Senior Python Data Analysis jobs in Leesburg, VA are:

Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in Leesburg, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $143,605 per year, or $69 per hour.

Senior Data Analyst - AI/ML & Analytics

Onyx Government Services,LLC

Chantilly, VA • On-site, Remote

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Onyx Government Service is seeking a Senior Data Analystwith AI/ ML, SAS, Tableau and Python experience to support Federal data management and Advanced Analytics projects. This individual will be responsible for creating reports and dashboards, querying databases, data quality assurance, and ETL support.
The Senior Data Analyst will join our team as one of the senior SAS/ Tableau developers for a data-warehousing project to solve business intelligence challenges. The position requires deep technical expertise in SQL, BI tools, ETL, and data profiling.
Security Clearance: Must possess active BI or NACLC Public Trust security clearance (sponsorship not available).
Responsibilities:
  • Extract data from a variety of sources, such as relational database, EDW and Foundry for use in analysis
  • Engage with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
  • Perform quality assurance of reporting and dashboard deliverables to ensure quality of both data and analysis
  • Work collaboratively to align business requirements with data and analytical solutions while empowering business to draw insights and analyze data while Identify areas of concern of as-is processes and business dependencies
  • Coordinating and facilitating requirement gathering, playing an active role in the discovery, analysis, value validation, design, and testing phases. Ideate with functional analysts and business process owners
  • Monitors changes in business, making recommendations where analytics can further improve business
  • Create Tableau related Standard Operating Procedures (SOP)
  • Document development for peer reference and knowledge transfer

Required Experience/Qualifications:
  • Bachelor's degree with 7 years of Business Intelligence development, or data processing/analytical experience or combination thereof.
  • At least 5 years of work experience in analytical role
  • Extensive hands-on experience with Tableau, including Desktop, Tableau Server/Cloud, dashboard design and development, data visualization, reporting, and analytics
  • Experience with SAS development, including the use of SAS/Macro, Data Step, and SAS/Access. Experience of Enterprise Guide and Enterprise Miner / SAS Data Mining procedures a plus.
  • Strong SQL skills and Tableau development experience
  • Strong conceptual, analytical, and decision-making skills
  • Partner with data scientists, AI/ML engineers, data engineers, and business stakeholders on AI and machine learning initiatives.
  • Analyze and prepare data for AI/ML models and support model development, validation, and performance analysis.
  • Support Generative AI and LLM-related initiatives, including identifying business use cases and evaluating AI-generated outputs.
  • Apply Python libraries and tools such as Pandas, NumPy, and scikit-learn for data analysis and analytical modeling.
  • Must have good leadership, communication and writing skills. Ability to show the future and benefits of analytics activities to the client.
Desired Experience/Qualifications:
  • Extensive experience in Tableau dashboard design and development
  • Quality assurance and validation experience, specifically comparing multiple data sources for discrepancies and inconsistencies
  • Experience building or operating production systems that integrate generative AI/LLMs, beyond prototype or experimental work.
  • Strong understanding of AI output evaluation and quality assessment, not just system uptime.
  • Backend or full-stack engineering skills to own the surrounding pipeline including data flow, APIs, and deployment.
  • Comfortable with prompt engineering and iterative model tuning as a continuous responsibility.
  • Ability to work independently, manage a backlog, and balance delivery speed with accuracy in high-precision domains.
Salary Range: $150,000- $170,000 annually
The salary range for this position represents the anticipated compensation at the time of posting. Actual compensation will be determined based on factors such as the candidate's qualifications, experience, education, skills, contract requirements, funding and other business considerations.
Benefits
Eligible employees have access to a comprehensive benefits package, which currently includes:
  • Medical, dental, and vision insurance
  • 401(k) retirement plan
  • Paid time off (PTO)
  • Company-paid holidays
  • Short-term and long-term disability insurance
  • Life insurance

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