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Python Data Analysis Jobs in Reston, VA (NOW HIRING)

Manager, Data Analysis - US Card At Capital One, data is at the center of everything we do. When we ... At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in ...

Manager, Data Analysis - US Card At Capital One, data is at the center of everything we do. When we ... At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in ...

Senior Data Analyst- Banking

Mclean, VA · On-site

$86K - $109K/yr

Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis. * Write efficient SQL queries for data extraction, transformation, and validation. * Experience ...

New

Senior Data Analyst- Banking

Mclean, VA · On-site

$86K - $109K/yr

Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis. * Write efficient SQL queries for data extraction, transformation, and validation. * Experience ...

New

Senior Data Analyst- Banking

Mclean, VA · On-site

$86K - $109K/yr

Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis. * Write efficient SQL queries for data extraction, transformation, and validation. * Experience ...

New

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Experience with Python data science and visualization packages Clearance: Applicants selected will ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Experience with Python data science and visualization packages Clearance: Applicants selected will ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience analyzing structured and unstructured data * Experience with statistical and general ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience analyzing structured and unstructured data * Experience with statistical and general ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Apply qualitative and quantitative data analysis methodologies to complex business and mission ... Transform, manipulate, combine, and analyze data using programming languages such as Python or R.

Strong proficiency in data analysis tools such as Excel, SQL, or Python. * Excellent problem-solving skills and attention to detail. * Ability to communicate complex data in a clear and concise ...

New

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

... Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public ... Support data analysis efforts by collecting, cleaning, validating, and preparing data from multiple ...

... Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public ... Support data analysis efforts by collecting, cleaning, validating, and preparing data from multiple ...

... Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public ... Support data analysis efforts by collecting, cleaning, validating, and preparing data from multiple ...

Python, Alteryx, Tableau, Skywise,) for data manipulation, basic analysis, and reporting tasks. * Write and execute data queries using SQL, Python, or other data analysis programming languages.

Showing results 41-60

Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python data analysis in Reston, VA is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $69.28 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the most commonly searched types of Python Data Analysis jobs in Reston, VA?

The most popular types of Python Data Analysis jobs in Reston, VA are:

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

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

What cities near Reston, VA are hiring for Python Data Analysis jobs?

Cities near Reston, VA with the most Python Data Analysis job openings:

Infographic showing various Python Data Analysis job openings in Reston, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $126,853 per year, or $61 per hour.

Data Analysis Manager - Strategy and Analytics

Mclean, VA • On-site

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

Full-time

Re-posted 10 days ago


Key responsibilities

  • Own the transformation layer by designing and implementing data models, data cubes, and warehouses to support analytical needs.

  • Drive data quality, governance, and observability throughout the data lifecycle, ensuring data compliance and discoverability.

  • Collaborate with team members and data customers to understand their analytical needs and improve self-service data tools such as dashboards and AI interfaces.


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Data Analysis Manager - Strategy and Analytics

Data is at the center of everything we do at Capital One. Your role as a Data Analyst on the team will heavily leverage your deep expertise in SQL and data transformation. You will be a creative data wrangler, comfortable with extracting, modeling, and transforming large, complex datasets to support our consumers. This requires more than just the ability to write complex, performant queries; you must also possess a thorough understanding of database structures, warehousing best practices, query profiling, and optimization techniques for data modeling and data governance. Ultimately, this is an analytics engineering role supporting not only analysts in the Strategy & Analytics team but a swathe of other data customers across a broader team who are hungry for data, metrics, and insights.

What you'll do:

  • Own the transformation layer, applying best practices to design and implement data cubes, warehouses, and other data models to best serve our users. Define, manage, and implement the analytics engineering and infrastructure roadmap.

  • Level up our data models, infrastructure, and dashboard interfaces to drive effective self-service. Liaise with team members and other data customers to understand and meet their analytical needs.

  • Drive quality metadata and data discovery with a semantic layer-for both AI and humans. Excited to work alongside AI tools, not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses

  • Act as a performing data steward. Define and enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability

  • Drive a high level of data quality and observability of our data at all stages of the data lifecycle.

  • Support modernization and migration initiatives from legacy reporting platforms.

  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

  • Drive a single source of truth of trusted metrics and data that users can find and understand easily and make decisions with confidence.

What you'll do:

  • Drive current and future strategy by leveraging your analytical skills

  • Assist with building and using models to test and validate data

  • Work with vast amounts of data in new and evolving environments

  • Leverage analytics to create a customer experience above our peers

  • Be a part of the full life cycle of projects and see end results

  • Collaborate across business units

  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

  • Experience real work life balance, with little travel involved

On any given day you will be:

  • Driving high data and code quality, consistency, and simplicity.

  • Identifying and implementing process, data, and reporting improvements for the organization

  • Working with large and complex databases containing millions to billions of records

  • Improving operational efficiencies and effectiveness

  • Conducting analysis to evaluate processes and tests

  • Enhancing self-service offering with enhanced data cubes, dashboards, and AI interfaces

  • Consulting on the design and implementation of new production and data storage systems

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong analytics engineering component.

Basic Qualifications:

  • Currently has, or is in the process of obtaining a:

  • Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or

  • Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 4 years of experience performing professional data analysis work

  • At least 4 years of experience performing programming

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 7 years of professional data analysis work experience

  • At least 4 years of experience with Python, R, Spark or SQL

  • At least 1 year of experience in people management

  • At least 1 years of project management experience

  • At least 1 year of experience in Tableau

  • Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Data Analysis Manager


New York, NY: $179,700 - $205,100 for Data Analysis Manager










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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