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Data Analyst Python Sql Jobs (NOW HIRING)

SQL Data Analyst

Riverside, CA ยท On-site

$142K/yr

SQL Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

The Data Analyst I will support data collection, data preparation, reporting, and visualization ... Python, SQL, and reporting tools such as Tableau or Power BI. This position is well suited for a ...

Expert-level proficiency in R or Python, SQL, and multiple visualization tools (Tableau, Power BI ... translate complex analytics for executive audiences. * Experience with data governance, data ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and ... using languages such as R, Python, SQL or JavaScript * Using data solutions, tools, and ...

Python- SQL Developer

New York, NY ยท 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.

Python Developer - ZL

Washington, DC ยท On-site

$57 - $78.50/hr

SQL * AWS Data Services * Jira * BI concepts Top 3 Soft Skills: * Communication skills * Sef ... Collaborate with business stakeholders, data analysts, and developers to understand business ...

Data Analyst

Austin, TX ยท On-site

$40 - $50/hr

This role requires strong analytical skills with expertise in SQL, Python, and Tableau to transform data into meaningful business insights. The ideal candidate will work closely with stakeholders to ...

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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 Aug 11, 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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Contractor

Re-posted 2 days ago


Job description


Description:
The Data Analyst will be responsible for discovering analytics and system integrations requirements,
identifying data sources and criteria needed, documenting specs for developers, testing the output, and
ensuring user acceptance. This position will work directly withinternal customers, business process owners, leadership, Business Analysts, and BI, ETL, and Webservices Developers.
The ideal candidate has proven working experience taking a vaguely stated business question and unpacking it into specific requirements, data sources, and criteria. The skillset is a cross between a business analyst working with the customer on requirements discovery and a "data detective" identifying and interpreting data using SQL and analysis skills. Analytical /conceptual/ curious/ problem-solving mindset is an absolute must. Experience writing SQL against complex tables containing historical/future data is a must. Working knowledge of HR data and processes is strongly preferred. Selected candidates will be expected to walk through their data gathering, analysis, and SQL experience in detail.
***This role is 100% remote.****Candidates outside the State of GA are welcomed.
Requirements
Education and Experience (required)
โ€ข Bachelor's degree in Computer Science, Statistics, Business, Finance, or related field
โ€ข 3-4 years performing data analysis
โ€ข 3-4 years as a business analyst (working with stakeholders on requirements and business process)
โ€ข 2-3 years of experience writing complex SQL queries
Qualifications (required)
โ€ข Above average analytical and conceptual thinking; resourceful problem-solving
โ€ข Fascination with data, desire to learn new concepts, finds business process and data analysis rewarding
โ€ข Expert level SQL skills; experience writing complex queries with multiple table joins, subqueries, and
historical data
โ€ข Basic knowledge of database design principles, deep understanding of relational databases
โ€ข Familiarity with data warehouse, data mart, ETL, and webservices concepts
โ€ข Exposure to reporting tools and some hands-on experience building reports
โ€ข Advanced Excel skills (formulas, charts, pivot tables)
โ€ข Strong interpersonal skills
โ€ข Experience communicating with all levels in the organization in a clear and concise manner using non-
technical language
โ€ข Excellent documentation skills
โ€ข Attention to detail and accuracy
โ€ข Strong experience working with HR data and processes (PeopleSoft preferred or similar HR systems)
โ€ข Process analysis skills
โ€ข Ability to lead others to articulate requirements and uncover hidden needs
โ€ข Familiarity with SDLC
โ€ข Experience managing multiple requests and projects
โ€ข Adaptability to changing requests and priorities
Skill Set
SQL data analyst, HR