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

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in ... Work with SQL databases to extract and analyze data. * Collaborate with business stakeholders, data ...

Main Purpose of Job The Data Analysts role will be to partner with stakeholders across the ... Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies

The data analyst will analyze, design, create, maintain, update, manage and present Tableau ... Responsibilities: * 10%, Analyze datasets using SQL, Cicada and Python. * 60%, Design, create ...

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Partner with Engineering, Data Science, and other teams to identify and use the data needed to ... Proficiency in either SQL, Python, or R conducting complex analyses on large datasets * Working ...

Senior Data Analyst

Katy, TX ยท On-site

$90K - $100K/yr

Advanced proficiency with SQL for querying, extracting, and validating large datasets * Experience ... Experience with Python, R, or other statistical programming languages * Experience with AI-assisted ...

Senior Data Analyst

Houston, TX ยท On-site

$82K - $103K/yr

Serve as a subject matter expert for financial and operational data across SAP, SQL Server, CRM, ... Experience with Python, PySpark, or medallion-style data architecture. * Experience documenting ...

Senior Data Analyst

Houston, TX ยท On-site

$82K - $103K/yr

Serve as a subject matter expert for financial and operational data across SAP, SQL Server, CRM, ... Experience with Python, PySpark, or medallion-style data architecture. * Experience documenting ...

Senior Data Analyst

Houston, TX ยท On-site

$82K - $103K/yr

Serve as a subject matter expert for financial and operational data across SAP, SQL Server, CRM, ... Experience with Python, PySpark, or medallion-style data architecture. * Experience documenting ...

Senior Data Analyst

Houston, TX ยท On-site

$50 - $53/hr

Extract, transform, and load data from Snowflake , SQL databases , Microsoft Power Platform , and ... Leverage scripting skills in Python or R to enhance data processing, analytics, and visualization ...

Data & AI Engineer

Houston, TX ยท On-site

$109K - $131K/yr

... as Python and SQL development. The ideal candidate will be comfortable working across data engineering, software development, analytics, and emerging AI/Generative AI solutions. This individual ...

Analyze member, financial, and operational data from core banking (DB2) and SQL Server systems to identify trends, patterns, and opportunities that support credit union decision-making. Design, build ...

Analyze member, financial, and operational data from core banking (DB2) and SQL Server systems to identify trends, patterns, and opportunities that support credit union decision-making. Design, build ...

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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 Sep 10, 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.

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.

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:

Infographic showing various Data Analyst Python Sql job openings in Houston, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Python/R Analyst

Richmond, TX โ€ข On-site

Other

Posted 12 days ago


Job description

Job Description

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in Python, R, data analysis, statistical modeling, and data visualization. The ideal candidate will analyze complex datasets, identify meaningful insights, and work with business and technical teams to support data-driven decision-making.

Key Responsibilities

  • Analyze large and complex datasets using Python and R.
  • Develop data analysis and statistical models to identify trends, patterns, and business insights.
  • Write clean, efficient, and reusable Python and R code for data processing and analysis.
  • Perform data cleaning, transformation, validation, and exploratory data analysis (EDA).
  • Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
  • Use R packages such as tidyverse, dplyr, ggplot2, and Shiny for analysis and visualization.
  • Develop dashboards, reports, and visualizations to communicate analytical findings.
  • Work with SQL databases to extract and analyze data.
  • Collaborate with business stakeholders, data engineers, and technical teams to understand requirements.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Ensure data quality, accuracy, and consistency across analytical outputs.

Required Qualifications

  • 3+ years of professional experience with Python.
  • 3+ years of professional experience with R.
  • Strong experience with Pandas, NumPy, Matplotlib, and Seaborn.
  • Strong knowledge of R, Tidyverse, dplyr, and ggplot2.
  • Strong SQL skills and experience working with relational databases.
  • Experience with data cleaning, manipulation, and exploratory data analysis.
  • Strong understanding of statistics and data analysis techniques.
  • Experience creating data visualizations and analytical reports.
  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder-management skills.

Preferred Qualifications

  • Experience with Machine Learning and predictive analytics.
  • Experience with Scikit-learn or other Python ML libraries.
  • Experience with R Shiny.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Tableau or Power BI.
  • Experience working in Agile/Scrum environments.