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Data Analyst Python Sql Jobs (NOW HIRING)

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

Python & SQL Developer

Tampa, FL · On-site

$45.75 - $63/hr

Python & SQL Developer Location: Newark, NJ or Tampa, FL (No Remote - 3 days in office) Duration: 6 ... The developer works closely with data engineers, analysts, and application teams to deliver ...

Engineer - Python & SQL

Ashland, OH

$43.50 - $60/hr

Collaborate with data analysts/BI teams to ensure smooth integration between data and Tableau ... SQL DBA , Tableau and Python developer 3-5 years of exp About the Role We are looking for a skilled ...

Sr. Data Analyst

Washington, DC · On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A mission-driven ... Using Python, SQL, and related tools to configure and optimize data pipelines * Managing ...

Hands-on experience in data aggregation and analysis using Python, SQL or similar * Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is ...

Python, SQL Developer with AWS

Reston, VA

$52.25 - $72/hr

Key Responsibilities Develop and maintain robust Python scripts and SQL queries for data processing and analysis. Utilize AWS services to support cloud-based development and deployment. Perform ...

Senior Data Analyst (Ab Initio)

Mclean, VA · On-site

$86.90K - $109.70K/yr

We are looking for a Senior Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies . The ideal candidate will have hands-on experience working with Ab Initio ...

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Data Analyst Python Sql information

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$34K

$82.6K

$136K

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

As of May 29, 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 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.

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.

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.

More about Data Analyst Python Sql jobs
What cities are hiring for Data Analyst Python Sql jobs? Cities with the most Data Analyst Python Sql job openings:
What states have the most Data Analyst Python Sql jobs? States with the most job openings for Data Analyst Python Sql jobs include:
Infographic showing various Data Analyst Python Sql job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 58% Full Time, 7% Part Time, 28% Contract, and 2% Nights. Highlights an 70% Physical, 10% Hybrid, and 20% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
SAS Data Analyst - ( Python, SQL )

SAS Data Analyst - ( Python, SQL )

Newt Global

Irving, TX

Other

Posted 29 days ago


Job description

Job Title: Data Analyst - SAS , Python, SQL

Location: Irving,TX - Onsite ( Local to Texas Only )

Fulltime ( No H1b )

Job Summary:

Analytical & Interpersonal Skills   

  • Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
  • Data analysis, Data profiling, Data Management skills
  • MIS reporting and generate actionable Business Insights
  • Should have excellent communication and inter-personal skills
  • Good process management skills
  • Coming up with automated Techniques to reduce redundancy, remove false positives and enhance optimization
  • Identification of control gaps and providing recommendations as per data strategy
  • (Preferred) - Risk & control Metrics & Audit Framework Exposure

Tools and Platforms

  • Proficient in SAS, SQL, RDBMS, Teradata, Unix
  • Proficient in MS Excel, PowerPoint, and VBA
  • Jira, Bitbucket, Sharepoint
  • Tableau, Cognos
  • Exposure to Big data, Python

Domain Skills

  • Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.)
  • (Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain

Other Info:

  • Education Level: Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute
  • Overall experience of 2-5 years with At least 1 year experience in Banking Industry delivering data solutions