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Data Analyst Python Sql Jobs (NOW HIRING)

Technomics, Inc.

Data Analyst

Troy, MI · On-site

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Connexzia

Data Analyst

Scottsdale, AZ · On-site

Proficiency in SQL, Python, R, or other data analysis tools. * Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio. * Strong understanding of statistical ...

Technomics, Inc.

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Technomics

Data Analyst

Arlington, VA

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Conch Technologies Inc

SQL Data Analyst

Phoenix, AZ · On-site

SQL Data Analyst Location: Hybrid - Phoenix, AZ (Local candidates preferred) Duration: 6+ Months We are seeking a detail-oriented SQL Data Analyst to support data analysis, validation, and mapping ...

Hack The Box

Data Analyst

SQL on BigQuery (Snowflake a plus / legacy) * Python for analysis, automation, and statistics ... ROI modeling & data storytelling - Use SQL and Python to extract and shape large datasets ...

Vultus Inc

The ideal candidate should have strong experience in machine learning, statistical analysis, Python, SQL, and data visualization. Key Responsibilities * Collect, clean, preprocess, and analyze ...

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Data Analyst Python Sql information

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

As of Aug 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 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

Troy, MI • On-site

Technomics, Inc.
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees
Learn more about Technomics, Inc.external

Full-time

Posted 9 days ago

Job description

Overview
Technomics is a growing employee-owned, decision analytics company that provides professional services and management solutions to help our clients make better decisions faster . We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently . We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter expertise, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts have the knowledge, skills, abilities and initiative to deliver timely, practical and innovative solutions to our clients as part of high-performing project teams typically composed of a mix of junior and mid-level analysts.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is located in Troy, MI.
Position-Specific Overview
Data Analysts will support a U.S. Government client in developing data-driven solutions using Palantir Foundry and related technologies. The role will support data integration, transformation, analytics, and user-facing applications that improve access to mission and business information.
The individual will work with technical teams and end users to develop data pipelines, analytical workflows, and applications, translate requirements into practical solutions, and support testing and implementation. Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development, cloud technologies, and UX/UI design. Direct Palantir Foundry experience is preferred but not required.
Responsibilities and Qualifications
  • Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user-facing data products in Palantir Foundry and related technologies.
  • Work with client stakeholders and technical teams to understand requirements, troubleshoot data issues, and translate business needs into practical analytical solutions.
  • Analyze, clean, integrate, and validate data from multiple sources to support reporting, analysis, and operational workflows.
  • Develop queries, scripts, dashboards, applications, and other analytical products using tools such as Python, SQL, JavaScript/TypeScript, and low-code applications.
  • Support data modeling, database design, testing, documentation, and deployment of new capabilities.
  • Apply UX/UI and user-centered design principles to improve the usability of dashboards, workflows, and analytical applications.
  • Use modern software development practices including Git, testing, version control, and collaborative development.

Minimum Qualifications
  • 2+ years of experience in data analytics, data engineering, software development, or a related technical field.
  • Experience with Python, SQL, and JavaScript/TypeScript.
  • Experience developing ETL/ELT pipelines and working with relational databases and structured data.
  • Experience with low-code application development, cloud technologies, or UX/UI design.
  • Ability to work directly with users to understand requirements and develop data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with Palantir Foundry or comparable data and analytics platforms.
  • Experience with PySpark, Spark, or other large-scale data processing technologies.
  • Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing applications, workflows, or analytical products.
  • Prior experience supporting U.S. Government clients or working in regulated environments.

Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.

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