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

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate ... Design, develop, and institute automated workflows utilizing various technologies (SQL, Python ...

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate ... Design, develop, and institute automated workflows utilizing various technologies (SQL, Python ...

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 ...

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 ...

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 ...

Data Analyst

Spring, TX · On-site

$85K - $95K/yr

Data Analyst About PURIS: PURIS operates across North America as the largest independent trenchless ... Collect, clean, and transform data from multiple sources (Excel, SQL databases, cloud applications ...

Utilize programming languages such as SQL, Python for data manipulation, analysis and model development SUGGESTED QUALIFICATIONS * Master's degree in a quantitative discipline * Five or more years of ...

Utilize programming languages such as SQL, Python for data manipulation, analysis and model development SUGGESTED QUALIFICATIONS * Master's degree in a quantitative discipline * Five or more years of ...

Ideal Background: * 5-10 years of experience in data engineering, analytics, or data science. * Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI ...

Palantir Data Architect

Spring, TX

$54 - $69.50/hr

... g., Python, SQL). * Demonstrated proficiency and experience with building applications in Palantir Foundry, focused on data modeling and utilization of Ontology Manager tool * Strong analytical ...

Analyze large volumes of data to identify trends, patterns, and business insights * Review facts ... Experience with SQL, Power BI, Tableau, or other reporting and visualization tools * Exposure to ...

New

Python Lead (Python + Oracle, PL/SQL)

Houston, TX · On-site

$133K - $164K/yr

Role: Python Lead (Python+ Oracle, Pl/sql) Location: Houston, TX (Onsite from Day 1) Job Type ... Covering data modeling, query optimization, and transaction management. *Champions DevOps and CI/CD ...

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Data Analyst Python Sql information

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$32.5K

$78.9K

$129.9K

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

As of Jun 12, 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 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 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 Analyst

Data Analyst

ExxonMobil

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


ExxonMobil rating

6.1

Company rating: 6.1 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

55th of 74 rated oil and gas companies


Job description

About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we canwork together.
About Houston
ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company's ability to attract, develop and retain the top talent in the industry.
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world's top academic, research, and corporate facilities.
Learn more about what we do in Houston here
What role you will play in our team
  • A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data
  • This role reports to the Continuous Improvement team and supports strategic decision-making for safety, production, and cost optimization by applying data-driven insights
  • This job will be located in Houston, TX

What you will do
  • Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends; help create final displays of the results, often for formal presentations
  • Build and manage data pipelines integrating structured and unstructured data sources
  • Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Alteryx, Spotfire, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
  • Develop ETL processes and maintain application integrations across multiple systems and data sources
  • Coordinate with Field and Engineering to perform analysis on drivers impacting LOE, Capital, and Production
  • Develop, maintain, and distribute recurring reports for Permian Operations timely and accurately
  • Assist in compiling data for regulatory, financial, and accounting reporting
  • Maintain up-to-date and accurate data analysis and tool documentation for reference purposes
  • Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes
  • Identify redundancies, automation opportunities, process inefficiencies and provide solutions
  • Communicate, collaborate, and report with multiple departments - field operations, IT, accounting, data support groups, etc
  • Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations
  • Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies
  • Mentor engineers/analysts within the team on data engineering and BI development techniques

About You
  • Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field
  • Education should include mathematical and computer training
  • 5+ years experience in a technical role
  • Advanced level of data handling skills to include data integration and creating reports
  • Proficient working with relational databases and generating complex data visualizations
  • Can modify established workflows and evaluate and assess errors as they arise
  • Can interpret, understand, and explain workflows and data processes
  • Performs complex analytics, generates insightful dashboards and or can write code to automate basic redundant workflows/processes
  • Works under limited supervision
  • Works with technical staff and professionals
  • Experience with data visualization including Spotfire and PowerBI applications is required
  • Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required
  • Advanced proficiency in MS Office suite

Preferred Qualifications/ Experience
  • Understanding of programming languages such as Python, R, Matlab or similar is highly preferred
  • Subject Matter Expert within select functions applicable to Data Analyst role

Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
We offer you:
  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match
  • Comprehensive medical, dental, and vision plans.
  • Culture of Health: Programs and resources to support your wellbeing.
  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

More information on our Company's benefits can be found at www.exxonmobilfamily.com
Please note benefits may be changed from time to time without notice, subject to applicable law.
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Employer equal opportunity
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
Job Id: 82322

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