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Data Analyst Python Sql Jobs (NOW HIRING)

Technomics

Data Analyst

Arlington, VA

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Technomics, Inc.

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Conch Technologies Inc

SQL Data Analyst

Phoenix, AZ · On-site

SQL Data Analyst Location: Hybrid - Phoenix, AZ (Local candidates preferred) Duration: 6+ Months We are seeking a detail-oriented SQL Data Analyst to support data analysis, validation, and mapping ...

Centurion Consulting Group

Data Analyst

Falls Church, VA · On-site

$70K - $80K/yr

... R/Python/SQL proficiency (or willingness to train up) Data Analytics/Engineering Background ... Strategic planning and strategic communications Meeting facilitation and stakeholder alignment ...

Hack The Box

Data Analyst

SQL on BigQuery (Snowflake a plus / legacy) * Python for analysis, automation, and statistics ... ROI modeling & data storytelling - Use SQL and Python to extract and shape large datasets ...

OpenDataJobs

Data Analyst (SQL, AWS)

Washington, DC · Hybrid

... data stores into clean, reconciled analytical datasets; * building the recurring reports and ... Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ...

OpenDataJobs

Data Analyst (SQL, AWS)

Washington, DC · On-site

... data stores into clean, reconciled analytical datasets; * building the recurring reports and ... Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ...

OpenDataJobs

Data Analyst (SQL, AWS)

Washington, DC · On-site

... data stores into clean, reconciled analytical datasets; * building the recurring reports and ... Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ...

Capgemini

Python- SQL Developer

New York, NY · On-site

$55 - $75.75/hr

Hands-on engineer who can Analyze and optimize complex SQL code and stored procedures Contribute to ... data, combined with its deep industry expertise and partner ecosystem.

DEW Softech Inc

Data Analyst

Trenton, NJ · On-site

$45 - $50/hr

Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data discrepancies to support. Complete Description: * The Data Analyst is ...

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

As of Sep 8, 2026, the average yearly pay for data analyst python sql in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

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Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Engineer with Python / SQL - Onsite (Fulltime)

Jersey City, NJ • On-site

The Dignify Solutions, LLC
IT Services • 51 - 200 employees
Learn more about The Dignify Solutions, LLCexternal

$125K - $150K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
The Dignify Solutions, LLC is seeking a Senior Data Engineer with strong programming experience in building ETL/ELT programs. The role involves developing production-ready data ingestion and processing pipelines using Python and SQL, with a focus on cloud-native solutions, particularly in Azure environments.
Responsibilities:
• A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL , Python and DBT.
• 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
• 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
• Strong hands-on experience with Airflow is preferable
• Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
• Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
• Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
• Strong experience in cloud-native data pipeline development, preferably on Azure.
• Background in banking/capital markets or financial data is a plus.
• Passionate about data observability, monitoring, and scalable data architecture
Qualifications:
Required:
• A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL, Python and DBT.
• 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
• 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
• Strong hands-on experience with Airflow is preferrable.
• Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
• Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
• Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
• Strong experience in cloud-native data pipeline development, preferably on Azure.
• Passionate about data observability, monitoring, and scalable data architecture.
Preferred:
• Background in banking/capital markets or financial data is a plus.
Company:
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains). Founded in , the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

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