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

VBeyond

AWS, Python and SQL Lead Developer

Houston, TX · On-site

$133K - $164K/yr

Build robust Python applications, automation frameworks, and data processing solutions supporting analytics, orchestration, and serverless workloads. * Develop, tune, and maintain complex SQL queries ...

Foxconn Assembly LLC

Data Analyst

Houston, TX · On-site

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 ...

Par Pacific

Data Analyst

Houston, TX · On-site

Strong proficiency in SQL for data querying and manipulation required * Experience with LookML for Looker dashboard development required * Proficiency with Python for data analysis and workflow ...

Panelmatic

Data Analyst

Houston, TX · On-site

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.

Panelmatic

Data Analyst

Houston, TX · On-site

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.

Panelmatic

Data Analyst

Houston, TX · On-site

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.

AaraTechnologies Inc

DATA ANALYST

Texas City, TX · On-site

Write SQL queries for data analysis * Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications ...

CARBO

Senior Data Analyst

Houston, TX · 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 ...

CARBO

Senior Data Analyst

Houston, TX · 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 ...

Wilks

Senior Data Analyst

Houston, TX · 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 ...

Wilks Brothers

Senior Data Analyst

Houston, TX

$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 ...

Calpine

Engineer - Data Analyst

Pasadena, TX

Prefer a minimum of 2 years of experience with data analysis and preparation tools, such as SQL, Python, R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau ...

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

Prefer a minimum of 2 years of experience with data analysis and preparation tools, such as SQL, Python, R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

You will develop efficient and accurate analytical models which mimic business decisions and ... Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Data_Analyst Request ID: 89081-1 Location: Houston, TX or US Remote Duration: 6-12 months Skills ... Advanced SQL skills for querying, joining, validating, and analyzing large datasets. * Experience ...

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Data Analyst Python Sql information

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$32.5K

$78.9K

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

As of Jul 8, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 July 2026, with employment types broken down into 71% Full Time, 5% Part Time, 5% Temporary, and 19% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.
AWS, Python and SQL Lead Developer

AWS, Python and SQL Lead Developer

VBeyond

Houston, TX • On-site

$133K - $164K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description
Client is seeking an AWS, Python, and SQL Lead Developer to spearhead cloud-driven digital transformation initiatives within a global delivery model. You will design and build scalable, secure, and high-performing cloud and data solutions using AWS services, Python programming, and advanced SQL. This role involves researching emerging technologies, collaborating with stakeholders, and championing engineering excellence throughout the Software Development Life Cycle. Join a culture that values curiosity, teamwork, innovation, and continuous growth.
Key Responsibilities:

  • Lead end-to-end design and development of cloud-native applications and data pipelines leveraging AWS services such as EC2, Lambda, S3, RDS, Glue, API Gateway, Redshift, and Step Functions
  • Build robust Python applications, automation frameworks, and data processing solutions supporting analytics, orchestration, and serverless workloads.
  • Develop, tune, and maintain complex SQL queries, stored procedures, and ETL/ELT jobs, ensuring optimal performance and reliability.
  • Implement scalable data ingestion and transformation solutions using AWS native tools and industry-standard best practices.
  • Participate in end-to-end implementation cycles using technologies like AWS Redshift and Informatica, including data ingestion, transformation, modeling, and consumption layers.
  • Create automation and data processing scripts using Unix shell scripting, Python, and SQL to support operational efficiencies.
  • Collaborate with business and technical stakeholders to understand requirements and translate them into secure, scalable technical designs.
  • Promote engineering standards, governance, and cloud security best practices across the team.
  • Mentor junior developers and foster a culture of continuous learning and technical excellence.
  • Participate in Agile ceremonies and contribute to a high-performance global engineering team.

Required Qualifications:
  • Candidate must be located within commuting distance of Houston, TX or be willing to relocate to the area. This position may require travel in the US
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
  • At least 4 years of Information Technology experience
  • At least 3 years of AWS experience
  • Strong knowledge and hands-on experience in SQL, Unix shell scripting, and Python
Preferred Qualifications:
  • Experience working in diverse, multi-stakeholder business and technology teams
  • Strong communication, analytical, and problem-solving abilities
  • Experience working in a global delivery environment
  • Experience in Retail and Food distribution domain
  • Experience with AWS serverless components like Lambda, Glue, Step Functions, EventBridge, DynamoDB, and CloudWatch
  • Hands-on experience building ETL/ELT pipelines using AWS Glue, Python, SQL, and integrations
  • Understanding of cloud security fundamentals, including IAM, VPC design, encryption, and governance
  • Experience with CI/CD pipelines using Jenkins, GitHub Actions, CodePipeline, or similar tools
  • Exposure to container technologies such as Docker, ECS, or EKS
  • API development experience using Flask, FastAPI, or AWS API Gateway
  • Knowledge of data modeling, data warehousing, and data governance frameworks
  • Understanding of Agile/Scrum methodologies
  • AWS certifications (Developer Associate, Solutions Architect, Data Analytics) are desirable.

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