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Data Analyst Python Sql Jobs in Houston, TX (NOW HIRING)

BravoTech

Data Modeller / Engineer II

Houston, TX · On-site

The ideal candidate will have practical experience using Python, Pandas, SQL, and statistical modeling techniques to build data-driven solutions, automate workflows, and analyze complex business data.

Guru Schools

Job Title:-Senior Data Engineer

Spring, TX · On-site

$94K - $128K/yr

Design, build, and optimize scalable ETL/ELT pipelines using Databricks, Delta Lake, Python, SQL ... time analytics, and production grade data workflows. * Strengthen CI/CD and data governance ...

IES Holdings, Inc.

Data Analyst IV

Sugar Land, TX · On-site

Extract, clean, and transform data from multiple sources including SQL Server, Azure, APIs, and ... Analytics Delivery & Visualization * Design and deliver dashboards and reports for executive ...

Gunvor

Power Analyst

Houston, TX · On-site

Power Analyst Contract Type: Permanent Time Type: Full time ROLE OVERVIEW The Power Analyst ... Python, SQL, R, MATLAB, or C++. Familiarity with YES Energy, ISO portals, or market data platforms ...

Gunvor

Power Analyst

Houston, TX · On-site

Power Analyst Contract Type: Permanent Time Type: Full time ROLE OVERVIEW The Power Analyst ... Python, SQL, R, MATLAB, or C++. Familiarity with YES Energy, ISO portals, or market data platforms ...

Houston Rockets -- Toyota Center

Analyst

Houston, TX

Analyst General Description: This position uses advanced quantitative and qualitative analytical ... Leverage multiple programming languages (SQL, R, Python, etc.) to query, connect, and validate data ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Houston, TX

Data Analyst Python Sql information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

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

As of Jun 11, 2026, the average yearly pay for data analyst python sql in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 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 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 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.

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.

What are popular job titles related to Data Analyst Python Sql jobs in Houston, TX? For Data Analyst Python Sql jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Houston, TX look for? The top searched job categories for Data Analyst Python Sql jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Analyst Python Sql jobs? Cities near Houston, TX with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Houston, TX as of June 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.
Data Modeller / Engineer II

Data Modeller / Engineer II

BravoTech

Houston, TX • On-site

Contractor

Posted 4 days ago

Job description

Job Description
Position: Data Modeler / Engineer II
Location: Houston, TX
Position details: Contract (Possibly C2H)
Job Summary
We are seeking a hands-on Python-focused Data Analyst / Data Scientist with strong problem-solving skills and recent experience working with real-world datasets. The ideal candidate will have practical experience using Python, Pandas, SQL, and statistical modeling techniques to build data-driven solutions, automate workflows, and analyze complex business data. This role requires candidates who are actively coding and comfortable solving problems independently in a live technical environment without AI assistance.
Key Responsibilities
  • Develop and maintain Python-based solutions for data manipulation, transformation, and analysis.
  • Work extensively with Pandas, NumPy, SQL, and related data analysis libraries to process large datasets.
  • Build and optimize automated data pipelines, reporting workflows, and analytical tools.
  • Perform regression analysis, forecasting, trend analysis, and statistical modeling on business datasets.
  • Analyze structured and semi-structured data to identify insights, anomalies, and operational trends.
  • Collaborate with cross-functional teams to translate business problems into scalable analytical solutions.
  • Create dashboards, reports, and visualizations to support operational and strategic decision-making.
  • Participate in technical discussions and explain problem-solving approaches clearly during live coding exercises.

Required Qualifications
  • Strong hands-on experience with Python and Pandas in recent/current roles.
  • Experience with SQL and data manipulation techniques.
  • Practical experience with regression modeling, forecasting, statistical analysis, or predictive analytics.
  • Ability to independently write and debug Python code without AI assistance.
  • Experience working with large datasets and building analytical workflows.
  • Strong problem-solving and communication skills.
  • Bachelor's degree in Computer Science, Software Engineering, Mathematics, Statistics, Information Systems, or related field preferred.

Preferred Qualifications
  • Experience with Scikit-learn, NumPy, Matplotlib, or Jupyter Notebook.
  • Exposure to cloud platforms such as AWS, Azure, or Snowflake.
  • Experience with ETL automation, dashboarding, or operational analytics.
  • Background in financial services, operational analytics, retail analytics, or pricing analytics is a plus.

Interview Process
Candidates should be prepared for:
  • A live Python and Pandas coding assessment
  • Real-time problem-solving and data manipulation exercises
  • Explaining coding decisions and analytical thought processes during screen sharing
  • Independent coding without the use of AI tools

Additional Requirements
  • Must bring/use own laptop during the interview process.
  • Must have Python, Pandas, and a working development environment installed and ready for live coding exercises.
    IND123

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