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

This is an excellent opportunity to build your career in data analytics while gaining exposure to ... Exposure to SQL, Tableau, or Python is preferred. * Ability to manage multiple priorities and work ...

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 ...

Strong, demonstrable SQL skills - required (writing complex joins, CTEs, and aggregations against ... Python or R is a plus. * Experience with Zoho Analytics and/or Databricks is a huge plus (we use ...

This role will have the opportunity to interface directly with our traders, analysts, researchers ... Oracle / PL SQL development experience including stored procedures * Strong understanding of object ...

New

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

... Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn). • Hands-on ... analytical skills • Ability to communicate well with other members of the development team ...

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

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 ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site ... Working knowledge of SQL for basic querying and data exploration * Experience following or ...

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

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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 13, 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:
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.
Senior Data Analyst - Global Payments Network

Senior Data Analyst - Global Payments Network

Capital One

Houston, TX

$82K - $103K/yr

Full-time

Posted 4 days ago

New


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Senior Data Analyst - Global Payments Network

Senior Data Analyst

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Within Finance you will work in a department that invests in ways to tell stories, view trends, and diagnose results in a more compelling and visual nature. You will have the opportunity to partner with business customers on driving strategic business direction that leads to sustainable performance and you will be asked to challenge our current well-managed processes to be more proactive, effective and efficient. Data Analysts perform data analysis in an Agile environment with Tech, Product, Business and Data Professionals to frequently build reports; provide data capability for Regulatory requirements; perform reporting, analysis and data validations to support presentation, predictive modeling and ad-hoc requests.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

On any given day you will be challenged by three types of work - Innovation, Business Intelligence and Data Management:

Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

  • Drive analysis that provides meaningful insights on business strategies

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline

  • Scripting experience in (Python, R, Spark, and SQL)

  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within Snowflake services

Basic Qualifications

  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 1 year of experience working with at least one scripting language

  • At least 1 year of experience utilizing business intelligence visualization tool

  • At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 2 years of experience coding in Python, R, Spark, or SQL

  • At least 2 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.

  • At least 1 year of experience utilizing and developing within AWS services

  • At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Anytown, IL: $101,100 - $115,400 for Sr. Data Analyst


Houston, TX: $101,100 - $115,400 for Sr. Data Analyst


Plano, TX: $101,100 - $115,400 for Sr. Data Analyst









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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