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Data Analyst Python Sql Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

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 ...

Workforce Connections

SQL Data Analyst

Tampa, FL · Remote

Data Analyst III Contract | Remote (EST Only) Duration: 6 Months (Contract-to-Hire Potential) Start ... Java * Python * SQL * Excellent analytical, communication, and problem-solving skills. * Strong ...

Apolis

SQL / Python Data Analyst

Redmond, WA · On-site

SQL / Python Data Analyst Location: Redmond WA (Hybrid) Duration: 6+ months contract (possible extension) W2, & without sponsorship now and in future. Primary Responsibilities * Develop, maintain ...

SES

Python, SQL, AWS Developer

Reston, VA · On-site

$52.25 - $72/hr

Top 5 Technical Skills: * Python * SQL * AWS Data Services * Jira * BI concepts Key ... Collaborate with business stakeholders, data analysts, and developers to understand business ...

IntraEdge

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 ...

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

As of Aug 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.

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst, Python Programming - Work From Home

Next Step Systems

Washington, DC • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

Data Analyst, Python Programming - Work From Home
We are seeking a Data Analyst. This opportunity creates an exciting opportunity to be data-driven at multiple levels. You will work closely with senior leaders to measure and improve the companies approach to every interaction with clients and potential clients. The Data Analyst will be one of the team's first dedicated hires. The Data Analyst position will therefore be dynamic; it will evolve as needs change and as the candidate shapes the role. This position is 100% Remote.
Data Analyst Responsibilities:
- Evaluate large datasets for quality, accuracy, and perform advanced data analysis using applications or querying datasets to assess initial data quality.
- Assist with extracting, transforming, and loading data to enable data analyses.
- Build automations of routine and repeated tasks.
- Perform analyses to drive insights and improve client experience across the client journey.
- Use Python to develop tools for data cleaning, mining, analysis, and visualization.
- Collaborate with teams to optimize reporting systems and tools and ensure that analytics and insights are embedded in decision-making.
- Assist with developing dashboards for internal and external stakeholders.
Data Analyst Qualifications:
- 1-2 years of experience in Python Programming, Data Analysis, or Business Intelligence roles.
- College Degree required.
- Proficiency in Python, SQL, and Microsoft Power Query.
- Mastery of Microsoft Excel.
- Ideal candidates will have experience with Microsoft Power Bi and Salesforce.
- Excellent verbal, written, and interpersonal communication skills.
- Analytical, problem-solving, and decision-making skills.
- Excellent time management skills with a proven ability to meet deadlines.
- Ability to multi-task and to work independently or as part of a team.
- Must be able to read, write, and speak fluent English.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Washington DC Jobs, Data Analyst, Python Programming, Business Intelligence, SQL, Power Query, Excel, PowerBI, Salesforce, Data Analysis, Remote, Work From Home, Washington DC Recruiters, Information Technology Jobs, IT Jobs, Washington DC Recruiting
Looking to hire for similar positions in Washington, DC or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Data Analysts for jobs in Washington, DC and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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