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

Use analytical skills to learn our users business processes, document the data and process models and troubleshoot and maintain existing applications. Skill Set Requirements: * Proficiency in Python ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large-scale data extraction techniques. * Experience utilizing analytical and visualization tools to ...

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large-scale data extraction techniques. * Experience utilizing analytical and visualization tools to ...

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large-scale data extraction techniques. * Experience utilizing analytical and visualization tools to ...

Data Engineer (TS/SCI)

Reston, VA · On-site

$119K - $143K/yr

Experience with Python data analytic modeling, including Pandas * Ability to prepare and analyze large complex data sets * Ability to perform middle-tier and back-end development * Ability to ...

Master's preferred. • 3 years of data analysis, 1 year of machine learning. • Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive ...

Master's preferred. • 3 years of data analysis, 1 year of machine learning. • Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive ...

The ideal candidate will have strong hands-on experience with Python, R, machine learning, AWS cloud-native technologies, and large-scale data analysis. Experience working with Bank Secrecy Act (BSA ...

The ideal candidate will have strong hands-on experience with Python, R, machine learning, AWS cloud-native technologies, and large-scale data analysis. Experience working with Bank Secrecy Act (BSA ...

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

... developing analytics software applications, Demonstrated knowledge of: * Python, Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid ...

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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 SME

Washington, DC • On-site

Stock Group Analytics
IT Services • 1 - 10 employees

Other

Posted 10 days ago


Job description

Position Summary

Data Analysis SMEs serve as senior experts responsible for designing, developing, and delivering enterprise analytics solutions including KPI dashboards, real-time visualizations, and advanced analytical products. These individuals work directly with Government stakeholders to define metrics, implement data visualization best practices, and enable data-driven decision-making across the Bureau.

Key Responsibilities
  • Design and develop interactive, real-time dashboards using Microsoft Power BI for executive and operational stakeholders
  • Define and document Key Performance Indicators (KPIs) aligned with Government's strategic objectives
  • Perform deep-dive analyses and trend analysis on historical data to uncover actionable patterns
  • Implement data cleaning, transformation, and validation processes to ensure data accuracy
  • Develop and maintain Extract-Transform-Load (ETL) processes using SQL, Python, or Azure Data Factory
  • Transition existing reports and dashboards from legacy tools (Tableau, Excel) to Power BI
  • Enable self-service analytics capabilities by developing data models and templates for power users
  • Integrate predictive analytics models into visualization tools
  • Provide technical guidance on data visualization best practices
  • Support ad-hoc data analysis requests from Government leadership
  • Document all KPI formulas, data sources, and dashboard configurations
  • Conduct training sessions for Government personnel on analytics tools and capabilities
Required Qualifications
  • Education: Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or related field (Master's preferred)
  • Experience: 10+ years of experience in data analytics, business intelligence, and KPI dashboarding
  • Certifications:
    • CompTIA Security+ (required)
    • Microsoft Power BI certification preferred
    • Relevant data analytics certifications (e.g., Microsoft Data Analyst Associate)
  • Technical Skills:
    • Expert proficiency in Microsoft Power BI (dashboard development, DAX, Power Query)
    • Advanced SQL skills for data querying and manipulation
    • Experience with Tableau and Excel-based reporting
    • Proficiency in Python or R for data analysis
    • Knowledge of ETL processes and data integration tools
    • Understanding of statistical analysis and trend forecasting
Preferred Qualifications
  • Experience supporting federal government analytics programs
  • Familiarity with manufacturing or production analytics use cases
  • Experience with Azure Data Factory, Azure Synapse, or similar cloud data platforms
  • Knowledge of Natural Language Query capabilities in BI tools
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