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Data Analyst Python Sql Jobs (NOW HIRING)

Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. * Identify and implement avenues to optimize and enhance data analysis, interpretation and ...

Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL. Data Analyst Job Duties Data ...

Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL. Data Analyst Job Duties Data ...

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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 Jun 19, 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.

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 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.

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 June 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
AI Engineer Python, SQL & Data Pipelines

AI Engineer Python, SQL & Data Pipelines

Acunor Infotech

Dallas, TX

$113K - $136K/yr

Other

Posted 8 days ago


Job description

Location: Dallas, TX or San Antonio, TX
Type: Full-Time

Job Summary

We are seeking a hands-on AI Engineer with strong expertise in Python, SQL, AI/ML model deployment, and enterprise data pipeline development. This role focuses on building and operationalizing AI solutions in production environments, including model scoring, ETL workflows, monitoring, scheduling, automation, and integration with enterprise data platforms.

Must-Have Skills
  • Strong hands-on experience with Python for AI/ML development and deployment
  • Advanced SQL skills for data extraction, transformation, validation, and optimization
  • Experience building and maintaining ETL/ELT data pipelines
  • Experience with AI/ML model deployment and production support
  • Hands-on experience with Apache Airflow or similar orchestration tools
  • Experience with Snowflake
  • Strong knowledge of Cloudera, Hadoop, HDFS, and Hive
  • Experience with Git/GitLab and CI/CD pipelines
  • Understanding of data validation, monitoring, and workflow automation
  • Strong analytical, troubleshooting, and problem-solving skills
Key Responsibilities
  • Develop, deploy, and maintain AI/ML models using Python
  • Build scalable data pipelines for ETL, model scoring, monitoring, and automation
  • Write and optimize complex SQL queries for analytics and data processing
  • Integrate AI models and data workflows into enterprise platforms
  • Manage workflow orchestration using Airflow, Domino, or Control-M
  • Support production deployments, performance tuning, and monitoring
  • Collaborate with Data Science, Data Engineering, DevOps, and business teams

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About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

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