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Python Data Analysis Jobs in Ashburn, 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 ยท 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 ยท 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 ...

Senior Data Analyst- Banking

Mclean, VA ยท 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 ...

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 ...

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 ...

Showing results 21-40

Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Sep 13, 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?

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 Ashburn, VA?

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Infographic showing various Python Data Analysis job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,689 per year, or $59.9 per hour.

Data Management / Data Analysis Specialist

Vienna, VA โ€ข Remote

Full-time

Posted 16 days ago


Job description

Integrated Business & Technical Consultants, Inc. (IBTCI), a U.S.-based international development consulting company established in 1987, has worked in over 100 countries and implemented over 300 projects. IBTCI serves government agencies, private-sector companies, and donor organizations. IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across sectors including conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.

Assignment Title: Data Management / Data Analysis Specialist

Department/Location: Remote, with possible travel to target countries

Technical Point of Contact: Team Leader

Type: Consultant, Short-term / Intermittent

Classification: Consultancy

Overview: IBTCI is seeking a Data Management / Data Analysis Specialist to support a proposed Livelihoods Framework and Evaluations assignment. The specialist will program and code data-collection instruments; establish secure, well-documented data flows; process incoming qualitative and quantitative data; conduct cleaning, quality control, analysis, and visualization; and support consistent reporting across 13 project evaluations. The role requires careful management of concurrent country datasets and transparent, reproducible analytical workflows.

Essential Duties/Tasks and Responsibilities:

  • Translate approved questionnaires, interview guides, checklists, and scorecards into reliable electronic data-collection instruments using appropriate platforms.
  • Program skip logic, range and consistency checks, required fields, unique identifiers, consent gates, language versions, metadata, and secure submission workflows.
  • Develop and maintain data-management plans, data dictionaries, codebooks, file-naming conventions, access controls, version-control procedures, and data-retention and destruction protocols.
  • Receive, inventory, merge, de-identify, and securely store quantitative and qualitative data from field teams, implementing organizations, and secondary sources.
  • Perform daily or scheduled data-quality checks for completeness, duplication, missingness, outliers, logical inconsistencies, interview duration, enumerator patterns, and protocol deviations; document and resolve queries with field teams.
  • Clean, recode, label, derive, and prepare analysis-ready datasets while preserving raw data and a transparent audit trail of all transformations.
  • Prepare quantitative tabulations and statistical outputs and support qualitative coding, codebook management, retrieval, and thematic analysis.
  • Integrate qualitative and quantitative evidence into triangulation matrices and maintain evidence links supporting scorecard ratings, findings, conclusions, and recommendations.
  • Create clear tables, charts, and other data visualizations for monthly updates, evaluation reports, scorecards, slide decks, and stakeholder presentations.
  • Protect confidentiality and personally identifiable information and comply with approved IRB, consent, safeguarding, data-protection, and implementing-organization requirements.

Minimum Qualifications:

  • At least 5 years of professional experience in evaluation data management, research data processing, quantitative or qualitative analysis, or a closely related function.
  • Demonstrated experience programming or coding electronic data-collection instruments and implementing field validation and skip logic.
  • Experience cleaning, quality-checking, merging, labeling, and documenting multi-source datasets from surveys, interviews, focus groups, checklists, or administrative records.
  • Proficiency in Excel and at least one quantitative analysis package such as SPSS, Stata, R, or Python.
  • Experience with at least one electronic data-collection platform such as KoboToolbox, SurveyCTO, ODK, Qualtrics, REDCap, or a comparable system.
  • Experience with qualitative data coding or qualitative analysis software, or demonstrated ability to manage coded qualitative datasets.
  • Ability to produce accurate, accessible, decision-oriented data visualizations and tables.
  • Strong attention to detail, documentation, data security, and deadline management.
  • Excellent written and oral communication skills in English.

Education: Bachelor's degree in statistics, data science, information systems, economics, social sciences, evaluation, public policy, or another relevant field.

Preferred Knowledge, Skills, and Abilities:

  • Master's degree in a relevant field.
  • Experience supporting multi-country livelihoods, humanitarian, agriculture, food security, or economic-development evaluations.
  • Experience in low-connectivity, multilingual, fragile, or conflict-affected field settings.

Work environment: This position is primarily remote and computer-based and requires secure handling of confidential evaluation data.

Physical Requirements: This position requires the ability to speak, hear, see, use a computer or mobile device, and lift small objects up to 20 lbs. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions.

Supervisory Responsibility: This position has no supervisory responsibility.

Travel: Limited travel may be required.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this assignment. Duties, responsibilities, and activities may change at any time with or without notice.