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

Python Developer

Reston, VA

$52.25 - $72/hr

Job Role-Python Developer Location- Reston, VA We are looking for someone with strong development ... Strong experience in data analysis/mining, hands-on experience on analyzing large datasets and ...

Data Scientist

Mclean, VA ยท 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 ยท 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 ยท 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 ยท 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 ...

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

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

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 ยท 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 ...

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 ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for python data analysis in Ashburn, VA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.08 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

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 key skills and qualifications needed to thrive in the Python Data Analysis position, 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 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 most commonly searched types of Python Data Analysis jobs in Ashburn, VA? The most popular types of Python Data Analysis jobs in Ashburn, VA are:
What are popular job titles related to Python Data Analysis jobs in Ashburn, VA? For Python Data Analysis jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Ashburn, VA look for? The top searched job categories for Python Data Analysis jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Python Data Analysis jobs? Cities near Ashburn, VA with the most Python Data Analysis job openings:

Fall Intern: Data Analysis and Education Policy

AEI

Washington, DC โ€ข On-site

Other

Posted 29 days ago


Job description

Overview
The education policy team's data intern will support the team's cutting-edge research at the intersection of data, education policy, and technology. The data intern will research a variety of topics, including by:
  • analyzing and drawing meaningful interpretations from state and national education data sets;
  • using statistical modeling to estimate causal effects;
  • using web scraping to construct novel education data sets;
  • applying text analysis, machine learning, and other techniques to analyze unstructured data; and
  • creating visualizations and written reports to communicate results.

Candidates are expected to:
  • be highly interested in learning more about education policy;
  • have keen attention to detail and be highly effective at communication;
  • be highly proficient in Python and/or R.
  • have a strong understanding of statistics;
  • have a foundational understanding of machine learning;
  • be comfortable working independently when given a project; and
  • be able and eager to learn new skills on the job.

Applicants who go above and beyond will:
  • have taken coursework to understand, or have work experience in, education policy; and
  • demonstrate fluency in both Python and R, and potentially other programming languages;
  • have a strong understanding of regression and causal analysis; and
  • have experience applying machine learning and/or natural language processing to unstructured, messy data sets.

The ideal candidate for this position will have a passion for understanding K-12 American education through multiple types of data, have a general STEM background with a foundational understanding of data science, and be driven by open-minded,
intellectual curiosity. Candidates who are able to participate in the program on an in-person basis for 30-40 hours a week are encouraged to apply.
About AEI Internships
AEI internships offer a unique opportunity for undergraduates, graduate students, and recent graduates to gain experience in research, writing, business, and communications at one of the nation's leading think tanks.
Competitive candidates will generally have a GPA of 3.5 or higher from a top-ranking college or university. AEI's internship program runs for 12 weeks and all related programming will take place in-person in Washington, DC. Please see the internship program home page for updates about the program.
The fall program dates are either Tuesday, September 8, to Friday, December 4, or Tuesday, September 15, to Friday, December 11.