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

Data Analyst (DOJ)

Washington, DC ยท On-site

$75K - $90K/yr

The Data Analyst will play a critical role in supporting legal and operational teams by running ... Perform advanced analytics and automation using SQL, Python, and SSIS to ensure optimal system ...

Proficient in SQL and Python scripting basics * Experience with Agile methodologies and Jira for story creation * Strong analytical and problem-solving abilities * Ability to work with disparate data ...

Senior Data Analyst

Washington, DC

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ... Expert in Python, SQL, and Power BI DAX * Expert in financial modeling and forecasting * Expert in ...

... Tableau, SQL, Python, Java, Qlik, or similar data science and engineering languages. * Design ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

Senior Data Analyst

Washington, DC ยท On-site

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ... Expert in Python, SQL, and Power BI DAX * Expert in financial modeling and forecasting * Expert in ...

Senior Data Analyst

Washington, DC

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ... Expert in Python, SQL, and Power BI DAX * Expert in financial modeling and forecasting * Expert in ...

Sr. Data Analyst

Mclean, VA ยท On-site

$87K - $110K/yr

... SQL skills are needed Knowledge of SAS or Python/PySpark is highly desired Big data (Hive/HDFS etc)/ Cloud (AWS) experience is a plus Excellent communication and analytical skills Must Haves: Python ...

Experience using SQL and relational databases, including experience writing and troubleshooting ... Basic scripting or programming experience using Python, PowerShell, C#, or similar languages for ...

Data Analyst

Arlington, VA ยท Hybrid

$100K - $124K/yr

Perform data extraction, validation, cleansing, transformation, and enrichment using Python (Pandas) and SQL. * Support recurring reporting and analytics workflows by automating manual processes and ...

Data Analyst

Washington, DC ยท On-site

$85K - $115K/yr

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 ...

Experience using SQL and relational databases, including experience writing and troubleshooting ... Basic scripting or programming experience using Python, PowerShell, C#, or similar languages for ...

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Govini technology and data

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Govini technology and data

Sr Data Analyst

Reston, VA ยท On-site

$89K - $112K/yr

Creating dashboards, charts, and reports using tools like Excel, SQL, Python, and Tableau to ... Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce ...

As a Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity ... SQL, Python, or R. * Proven experience creating data visualizations and dashboards with Power BI.

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Data Analyst Python Sql information

See Reston, VA salary details

$35.4K

$86K

$141.5K

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

$65K - $85K/yr

Full-time

Re-posted 29 days ago


Job description

Overview
Friendship Public Charter School operates a thriving network of college preparatory public charter schools. Headquartered in Washington, DC., Friendship serves over 4,800 students in preschool to grade 12 and guides a growing network of alumni to college completion annually. Our mission is to prepare students to become ethical, literate, well-rounded, and self-sufficient citizens by providing a world-class education that motivates students to reach high academic standards, to enjoy learning, to achieve success, and to contribute actively to their communities. For 25 years, with the support and guidance of our exceptional faculty, our students have risen to the challenge with high graduation rates, college acceptances, and unparalleled success academically and socially.
The Data Analyst plays a critical role in supporting data-driven decision-making across the organization. This role is responsible for developing dashboards, generating reports, and conducting analyses that help school and district leaders monitor student performance and progress toward key performance indicators.
The Data Analyst will collaborate closely with school staff and district leaders to identify priorities, ensure data integrity, and build reporting systems that improve transparency and accountability. This position requires strong technical expertise in SQL, data visualization tools, and data management practices.
For more information about our schools please visit the following Social Media pages: YouTube, Linkedin, Facebook, Instagram & Twitter!
Please note, the salary range for this role is $65,000 - $85,000
Responsibilities
Data Management
  • Create and maintain data collection tools and templates using Google Sheets, Microsoft Excel, and our Student Information System.
  • Ensure data integrity through data cleaning, data imports, and regular data quality audits.
  • Support the maintenance of the organization's data warehouse (managed by an external vendor).
  • Provide accurate data extracts to external vendors as required.
  • Maintain reliable data collection processes across school and district teams.
Reporting & Dashboard Development
  • Develop dashboards to monitor student and school performance.
  • Manage and ensure accuracy of mandated external reports to state education agencies.
  • Track cyclical performance reporting for students, teachers, schools, and departments.
  • Respond to ad hoc reporting requests from school and district office staff.
  • Write advanced SQL queries to generate internal and external reports.
  • Maintain and improve existing reports and dashboards in Microsoft PowerBI and/or Tableau.
  • Build new data visualization tools and dashboards using PowerBI and/or Tableau.
Data Analysis
  • Analyze data to identify trends in student, teacher, and school performance.
  • Conduct statistical analyses to answer strategic questions from internal and external stakeholders.
  • Support program evaluation efforts and measure the effectiveness of key initiatives.
  • Provide insights that support strategic planning and operational improvement.
Systems Integration & Automation
  • Build and maintain data pipelines across multiple systems including the data warehouse, student information system, and assessment platforms.
  • Automate data extraction, transformation, and loading (ETL) processes.
  • Improve the efficiency and reliability of data integration across systems.
School & Technical Support
  • Partner with school leaders (principals, instructional coordinators, business managers) to ensure accurate data collection and reporting.
  • Support school and district office staff in improving data management practices.
  • Provide training and technical support on data tools and systems.
  • Respond to ad hoc data, reporting, and system support requests.
Required Skills & Technical Expertise
  • Strong proficiency in SQL and advanced SQL query writing.
  • Experience with Microsoft PowerBI or Tableau for data visualization and dashboard creation.
  • Familiarity with SQL Server Management Studio or SQL Developer.
  • Advanced Microsoft Excel skills (e.g., Pivot Tables, VLOOKUP).
  • Advanced Google Sheets skills (e.g., QUERY(), IMPORTRANGE()).
  • Experience with Google Apps Script.
  • Knowledge of relational databases and data modeling.
  • Experience with statistical analysis tools such as Python, R, or SAS.
  • Experience with data cleaning, ETL processes, and data quality management.
  • Ability to manage multiple projects and prioritize competing deadlines.

Qualifications
  • Bachelor's degree required (Data Analytics, Statistics, Computer Science, Education Policy, or related field preferred).
  • Experience analyzing complex datasets to identify trends and insights across programs or departments.
  • Proficiency with Microsoft Office Suite and Google Workspace.
  • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience working in K-12 education, education technology, or school systems.
  • Experience with student information systems and education data platforms.
  • Familiarity with education accountability metrics and reporting requirements.

FPCS's policy is to provide equal employment opportunity to all qualified applicants and employees regardless of their race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, genetic information, veteran status, status as a special disabled veteran, or any other protected criteria as established by federal, state, or local laws. This policy applies to recruitment and hiring, training, promotion, compensation, benefits, transfer, layoff, termination and all other terms and conditions of employment. Employment decisions at FPCS are based solely upon relevant criteria, including an individual's capabilities, qualifications, training, experience and suitability.