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Data Analyst Python Sql Jobs (NOW HIRING)

Tiger Analytics Inc.

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 ...

Diamondback Energy

Geoscience Data Analyst

Midland, TX · On-site

The Geoscience Data Analyst is a technically skilled, detail-oriented professional responsible for ... Develop and enhance scripts and tools (e.g., Python, SQL) to automate data ingestion and QC, ...

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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:
What job categories do people searching Data Analyst Python Sql jobs look for? The top searched job categories for Data Analyst Python Sql jobs are:
Data Analyst Python Sql jobs near you
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.
Senior Data Analyst (Ab Initio)

Senior Data Analyst (Ab Initio)

Tiger Analytics Inc.

Mclean, VA

$86.90K - $109.70K/yr

Full-time

Posted 20 days ago

Job description

Tiger Analytics is looking for experienced Senior Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

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 for ETL, building data pipelines, and performing data analysis to support business insights and decision-making.

This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.

Key Responsibilities

  • Develop and maintain ETL pipelines using Ab Initio to process and transform large datasets.
  • Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources.
  • Use Python for data processing, automation, and analytics.
  • Work with AWS cloud services to manage and analyze data in cloud environments.
  • Perform data validation, quality checks, and troubleshooting for data pipelines.
  • Build reports, dashboards, and insights to support business decisions.
  • Collaborate with data engineers, analysts, and business stakeholders to understand requirements.
  • Ensure data accuracy, consistency, and governance across systems.

Requirements

  • Strong programming experience in Python (Java acceptable).
  • Hands-on experience with AWS cloud services.
  • Experience building and supporting microservices architecture.
  • Experience with Node.js for backend/API development.
  • Exposure to Angular frontend framework.
  • Strong understanding of REST APIs and distributed systems.
  • Experience with CI/CD pipelines and DevOps practices.
Required Skills
  • 10 years of experience in Data Analytics or Data Engineering roles.
  • 5 years of experience with Ab Initio (ETL).
  • Proficiency in Python for data analysis and scripting.
  • Advanced SQL skills for querying and manipulating data.
  • Hands-on experience with AWS Cloud services.
  • Experience working with large datasets and data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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