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Data Analyst Python Sql Jobs in Reston, VA (NOW HIRING)

Data Analyst

Washington, DC · On-site +1

$102K - $133K/yr

... SQL Server, MYSQL, etc. to query databases. - Use MS Excel, Python (including Pandas, Numpy), R, and other programming languages to analyze large datasets of structured or unstructured data ...

Data Analyst

Washington, DC · On-site +1

$102K - $133K/yr

... SQL Server, MYSQL, etc. to query databases. - Use MS Excel, Python (including Pandas, Numpy), R, and other programming languages to analyze large datasets of structured or unstructured data ...

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends. * Assist in the evaluation of training opportunities and provide basic recommendations. * Support the ...

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of ... Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ...

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of ... Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ...

Data Analyst II Location: Government facility 95% and Contractor facility 5%. The place of ... Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ...

SQL Server, Oracle, PostgreSQL, MySQL - Programming and/or scripting (Python, R, Java) - Background in Law Enforcement, Data Science, Investigations, Data Analysis, Computer Information Systems, or ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Proficiency in SQL: Essential for querying and managing data in relational databases, including ... Experience with statistical programming languages such as Python (using libraries like Pandas ...

Required Skills and Experience: • Proficiency in SQL: Essential for querying and managing data in ... Experience with statistical programming languages such as Python (using libraries like Pandas ...

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Data Analyst Python Sql information

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$35.4K

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How much do data analyst python sql jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analyst python sql in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Reston, VA? For Data Analyst Python Sql jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Reston, VA look for? The top searched job categories for Data Analyst Python Sql jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Analyst Python Sql jobs? Cities near Reston, VA with the most Data Analyst Python Sql job openings:
Data Analyst

Data Analyst

Federal Trade Commission

Washington, DC • On-site, Remote

$102K - $133K/yr

Full-time

Posted 5 days ago


Job description

Summary
This position is located in the Division of Consumer Response and Operations (DCRO) in the Bureau of Consumer Protection (BCP) at the Federal Trade Commission (FTC) in Washington, D.C. The Bureau of Consumer Protection investigates and litigates civil actions to enforce federal consumer protection laws. For more information visit https://www.ftc.gov/about-ftc.
Learn more about this agency
Duties
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If selected for the position of Data Analyst, you will provide analysis and intelligence concerning consumer reports, information obtained during law enforcement investigations and actions, and other data maintained by the FTC.
As part of your responsibilities, you will support the Consumer Sentinel Network (CSN) and other law enforcement efforts and agency priorities. Consumer Sentinel is a secure online tool available to law enforcement authorities throughout the United States and abroad. It includes a searchable data bank of consumer reports about fraud, scams, and bad business practices received by the FTC and external data contributors.
In this position, you will support multiple FTC/BCP program areas, including anti-fraud, identity theft, Do Not Call, and Take it Down Act enforcement, as well as the consumer redress program.
You will perform the following duties:
- Develop methods to extract and analyze data from CSN or from data obtained during the course of investigations and to transmit this information to the appropriate internal and external users, including FTC management and staff at all levels as well as external parties including members of Congress, federal and state governmental agencies, FOIA requesters, and others.
- Leverage analytics and visualization tools (Tableau) to present information in a way that drives fact-based decision-making.
- Automate and optimize data extraction, cleaning, processing, and analysis functions.
- Analyze, clean, and process sensitive consumer data collected in various mediums, converting the data into a uniform standardized format for use in redress activities.
- Produce descriptive statistics for a wide range of law enforcement efforts.
- Query and mine large datasets, including text data, to discover patterns, using traditional or advanced techniques such as large language models.
- Regularly use various relational databases, SQL Server, MYSQL, etc. to query databases.
- Use MS Excel, Python (including Pandas, Numpy), R, and other programming languages to analyze large datasets of structured or unstructured data.
- Leverage emerging artificial intelligence and big data tools to analyze large datasets and streamline processes.
- Energetically work with teams to create data products for a wide range of stakeholders, including drafting declarations and other written materials that clearly and accurately describe data findings and analytical conclusions to prove allegations in court.
Requirements
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Conditions of employment
  • U.S. citizenship requirement must be met by the closing date of this vacancy.
  • This position is subject to a background investigation.
  • Males born after December 31, 1959 must register with Selective Service.
  • The position may be subject to completion of a one-year probationary period. Probationary periods are an extension of the hiring process.
  • If selected for this position, the agency will evaluate your fitness and whether continuation of employment advances the public interest before extending your appointment beyond the one-year probationary period.
  • You must meet time-in-grade requirement by the closing date of this vacancy.
  • You must submit a copy of your performance appraisal with your application.
  • Resume and supporting documents (See How To Apply).
  • This position is in the bargaining unit. This position is represented by the American Federation of Government Employees (AFGE), Local 2211.

Qualifications
To qualify for the Data Analyst position at the GS-12 level, you must meet the following requirements:
You must demonstrate in your resume at least one (1) year of qualifying experience equivalent to at least the GS-11 level in the Federal service obtained in either the private or public sector, performing the following types of tasks: using data analysis tools (sql, python, R, etc) to build and execute data queries against databases with large volumes of data, extract and wrangle large datasets (over 1,000,000 records) and present results to internal audiences.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education
There is no education substitution for specialized experience at this grade level.
Additional information
Veterans Employment Opportunity Act (VEOA): To be eligible for a VEOA appointment under Merit Promotion procedures, you must be a preference eligible or a Veteran separated after 3 years or more of continuous active service performed under honorable conditions.
Career Transition Assistance Programs: These programs apply to employees who have been involuntarily separated from a Federal service position within the competitive service or Federal service employees whose positions have been deemed surplus or no longer needed. To receive selection priority for this position, you must: (1) meet Career Transition Assistance Program (CTAP) or Interagency Career Transition Assistance Program (ICTAP) eligibility criteria; (2) be rated well-qualified for the position with a score of 87 or above; and, (3) submit the appropriate documentation to support your CTAP or ICTAP eligibility.
For more information visit: ICTAP/CTAP
Non-competitive Appointment Authorities:
For more information on non-competitive appointment authority eligibility requirements:
- Persons with Disabilities-Schedule A
- Special Hiring Authorities for Veterans
- Special Hiring Authority for Certain Military Spouses
- Other Special Appointment Authorities
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.