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Data Analyst Python Sql Jobs (NOW HIRING)

Megan soft Inc

BI Data Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

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 ...

Vangard, Inc.

Sr. Data Analyst, Internal Audit

Malvern, PA · On-site

$84.40K - $106.50K/yr

As a Senior Data Analyst, we are seeking a hands-on analytics and automation professional who can ... The ideal candidate brings strong Python, SQL, and data engineering skills, paired with the ability ...

Vanguard Group

Sr. Data Analyst, Internal Audit

Malvern, PA · On-site

$84.40K - $106.50K/yr

As a Senior Data Analyst, we are seeking a hands-on analytics and automation professional who can ... The ideal candidate brings strong Python, SQL, and data engineering skills, paired with the ability ...

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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 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.

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What cities are hiring for Data Analyst Python Sql jobs? Cities with the most Data Analyst Python Sql job openings:
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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.
Performance/Data Analyst III - 1920

Performance/Data Analyst III - 1920

Strategic Technology Institute Inc,

Lorton, VA • On-site

Full-time

Posted 9 days ago

Job description

Performance/Data Analyst III

Location: Washington, DC Metro Area
Clearance Required: Active Secret Clearance (Top Secret/SCI eligible preferred)
Employment Type: Full-Time
Company: Strategic Technology Institute (STi)

Overview

Strategic Technology Institute (STi) is seeking experienced Performance/Data Analyst III professionals to support the U.S. Department of Justice (DOJ), Justice Management Division (JMD), Office of the Chief Information Officer (OCIO) in support of the Homeland Security Task Force (HSTF).

This position supports high-priority interagency law enforcement and investigative operations through advanced analytics, data integration, statistical reporting, dashboard development, and Management Information System (MIS) support.

Candidates will work with complex investigative and operational datasets from multiple federal agencies including DOJ, FBI, DEA, HSI, ATF, IRS-CI, and USAOs.

Responsibilities
  • Develop and maintain advanced Tableau dashboards and visual analytics products
  • Build and execute SQL, Python, and R queries for data extraction and analysis
  • Perform statistical analysis, trend analysis, and performance measurement reporting
  • Develop predictive models and analytical tools supporting investigative prioritization
  • Conduct data integration and ETL activities across interagency systems
  • Produce reports, graphs, charts, and executive-level briefings
  • Analyze investigative outcomes, asset seizure/forfeiture metrics, and operational performance indicators
  • Support quarterly and ad hoc reporting requirements for DOJ leadership and congressional stakeholders
  • Conduct data quality audits and recommend process improvements
  • Maintain data dictionaries, schemas, and transformation documentation
  • Support automated reporting and workflow optimization initiatives
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or related field
  • 3+ years of applied data analytics/data science experience
  • Strong proficiency with:
    • Python
    • SQL
    • Tableau
    • Microsoft Excel
    • R (preferred)
  • Experience working with large datasets and statistical analysis
  • Experience developing dashboards and data visualizations
  • Ability to communicate analytical findings to technical and non-technical audiences
  • Active Secret Clearance required
  • U.S. Citizenship required
Preferred Qualifications
  • Experience supporting DOJ, DHS, DoD, or other federal law enforcement environments
  • Experience with investigative or intelligence-related datasets
  • Experience with machine learning or predictive analytics
  • Top Secret or TS/SCI eligibility preferred
  • Experience with ETL pipeline development and data governance

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