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

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience ...

Responsibilities : โ€ข Experience in SAS or Python development. โ€ข Data analytics. โ€ข Statistical ... โ€ข SQL. โ€ข Databases (Sybase, Oracle or UDB). โ€ข Microsoft Office tools (Access, Excel, Power ...

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.

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.

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.

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.

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.

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.

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.

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.

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.

Data Analyst

Arlington, VA ยท Hybrid

$83K - $139K/yr

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.

Data Analyst

Arlington, VA ยท Hybrid

$83K - $139K/yr

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.

Data Analyst

Arlington, VA ยท On-site

$83K - $139K/yr

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.

Data Analyst

Arlington, VA ยท On-site

$100K - $125K/yr

Expertise in SQL and python for data cleaning, aggregation and analytics * Experience with git or other version control * Familiarity with enterprise cloud platforms * Reliability and accuracy in ...

Data Analyst

Arlington, VA ยท On-site

$100K - $125K/yr

Expertise in SQL and python for data cleaning, aggregation and analytics * Experience with git or other version control * Familiarity with enterprise cloud platforms * Reliability and accuracy in ...

Data Analyst I

Washington, DC ยท Remote

$100K - $125K/yr

Familiarity with statistical analysis tools or languages (e.g., R, Python, SQL). * Experience responding to data calls and preparing executive-level briefing materials. Work Environment Work is ...

Showing results 21-40

Data Analyst Python Sql information

See Ashburn, VA salary details

$34.8K

$84.5K

$139.1K

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

As of Sep 2, 2026, the average yearly pay for data analyst python sql in Ashburn, VA is $84,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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.

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 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 job categories do people searching Data Analyst Python Sql jobs in Ashburn, VA look for?

The top searched job categories for Data Analyst Python Sql jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Data Analyst Python Sql jobs?

Cities near Ashburn, VA with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $84,508 per year, or $40.6 per hour.

Data Analytics Developer

TechOp Solutions International

Washington, DC โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

We are seeking a detail-oriented Data Analyst to join our team and contribute to our data-driven decision-making processes. The candidate will support the U.S. Customs and Border Protection’s Power Platform team by developing, maintaining, and enhancing Power BI dashboards, improving the structure of Excel, SharePoint, and SQL databases that feed into the Power BI dashboards, and creating ETL (Extract, Transform, Load) processes to facilitate the movement of data from legacy databases such as Excel and SharePoint to modernized databases such as SQL. The team’s current Power Platform solutions are utilized by 10,000+ users annually. The ideal candidate will possess a strong analytical mindset coupled with experience in database management or data migration (ETL).

Requirements

  • Collect, clean, and organize data from various sources into Power BI dashboards to display actionable insights to leadership and identify trends, patterns, and anomalies
  • Perform detailed analysis of datasets using Excel and other analytical tools to derive actionable insights
  • Manage Excel, SharePoint, and SQL database structures that store data fed to the Power BI dashboards
  • Present findings and insights to key stakeholders in a clear and understandable manner, using Excel and Power BI
  • Extract, transform, and load data from legacy databases such as Excel, SharePoint, and Access Databases to modernized databases
  • Replace ETL technology such as R-Studio and Informatica with Power Automate
  • Advanced proficiency with Microsoft PowerBI
  • Advanced proficiency with Microsoft Excel
  • Intermediate proficiency with SQL
  • Beginner proficiency with Relationship Database Management Systems (RDMS) architecture and database administration
  • Desirable Skills:
  • Beginner / Intermediate proficiency with Power Automate
  • Beginner proficiency with ETL technology such as R, Python, SQL, or SSIS
  • Functional Application Development Documentation proficiency