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

SES

Python AI Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports. Develop and maintain data pipelines and ETL workflows to support GenAI ...

IFAS LLC

Data Analyst

MD · On-site

Strong analytical and programming skills (Python/Pyspark, SQL, etc.) to parse, analyze, visualize, etc. large datasets • Experience with optical character recognition (OCR) technology and ...

SES

Python Gen AI Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports. Develop and maintain data pipelines and ETL workflows to support GenAI ...

Castellum Inc

Data Analyst (DOJ)

Washington, DC · 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 ...

DS Technologies Inc

Technical Data Analyst

Mclean, VA · On-site

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 ...

K.L. Scott & Associates

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 ...

Vantor

Big Data Analyst (TS/SCI)

Herndon, VA · On-site

They are seeking a Big Data Analyst to closely support mission partners, working with software ... Python, SQL, Spark, PySpark or similar. • Must be able to work on-site in Herndon, VA, with the ...

Analytic Services Inc

Data Analyst

Alexandria, VA

... 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 ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · 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 ...

K.L. Scott & Associates

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 ...

Palnar

Sr. Data Analyst

Mclean, VA · 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 ...

SkyePoint Decisions

Data Analyst

Arlington, VA · 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 ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

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

PotomacWave Consulting

Data Analyst

Washington, DC · 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 ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

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

Air

Data Analyst

Arlington, VA

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

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Alexandria, VA

Data Analyst Python Sql information

See Alexandria, VA salary details

$36.4K

$88.5K

$145.6K

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

As of Jul 15, 2026, the average yearly pay for data analyst python sql in Alexandria, VA is $88,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $103,800.00 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 Alexandria, VA? For Data Analyst Python Sql jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Alexandria, VA look for? The top searched job categories for Data Analyst Python Sql jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Data Analyst Python Sql jobs? Cities near Alexandria, VA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Python AI Developer - ZL

Python AI Developer - ZL

SES

Washington, DC • On-site

$57 - $78.50/hr

Other

Posted 12 days ago

Job description

Job Description

Top 5 Technical Skills:

  1. Python
  2. Gen AI
  3. SQL
  4. AWS Data Services
  5. LLM
  6. ML
  7. Sagemaker
  8. Bedrock

Top 3 Soft Skills:

  1. Confidence in Communication skills for Teamwork and sharing
  2. Stand alone to get work done, Independent
  3. Flexibility

Company / Project Description / Business Driver

Enter Overview of client, project description and the business drivers

Job Description:
Experience:
10+ years overall in Software Engineering disciplines, preferably in the financial services industry
2-3 years of experience in AI engineering roles - ML experience in NTH
Strong programming skills in Python, SQL and experience with AWS.
Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL
Key Responsibilities:
Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools.
Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports.
Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation.
Use AWS SageMaker to build, train, and deploy machine learning and GenAI models.
Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.
Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.
Document workflows, models, and prompt strategies for internal knowledge sharing and compliance

Required Qualifications:
2 3 years of experience in data analysis or machine learning roles.
Proficiency in Python and SQL for data manipulation and analysis.
Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
Strong understanding of financial data, KPIs, and reporting standards.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience in the finance or fintech industry.
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
Exposure to data visualization tools (e.g., Power BI, Tableau).
Bachelor s degree in Computer Science, Data Science, Finance, or a related field.

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