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

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 ...

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 ...

Data Analyst

Houston, TX · 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.

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 ...

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 ...

Write SQL queries to extract and analyze healthcare data * Support KPI tracking, trend analysis, and recurring performance reports * Collaborate with business stakeholders to understand reporting ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 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:
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.

Full-time

Re-posted 5 days ago


Job description

Main Purpose of Job

The Data Analysts role will be to partner with stakeholders across the Arsenault organization to build reporting solutions to guide decisions and provide insights

Key Responsibilities and Accountabilities

  • Translate business goals into appropriate strategies and technical requirements
  • Provide clear requirements and development plans to the onsite and offshore teams
  • Build dashboards and visualizations to provide data access and insight to the business stakeholders
  • Define, populate, and maintain user groups and user access within analytics tools
  • Assist in user adoption and enablement activities such as delivering training sessions or writing instructional content
  • Support data validation efforts

Knowledge and Experience

  • Experience with interactive visualization development using one or several of the following: Python, R/Shiny, Tableau, Power BI
  • Experience with SQL and other modern data storage technologies
  • Experience telling a story through data and building visualizations and dashboards that can be interpreted by non-technical audiences
  • Strong interpersonal and oral and written communication skills, and the ability to build and maintain relationships with customers and colleagues
  • Experience implementing one or several of the following statistical techniques: linear regression, time series analysis, experimental design, hypothesis testing, and A/B testing
  • Experience with Python and Python-based data analysis and manipulation packages

Desired Skills and Abilities

  • BS/MS degree in Business, Operation Research, Economics, Statistics, or related fields
  • Fluent in SQL
  • Ability to work independently with minimal Engineering support
  • Extensive experience with data visualization tools (Power BI preferred)
  • Proficient in Excel and Power Query
  • Working knowledge of DAX
  • Working knowledge of relational databases, ETL tool, data conversion and data cleansing methods
  • Ability to work with large and complex datasets
  • Ability to write clear and thorough technical documentation
  • Ability to work effectively with people at all levels in an organization
  • Ability to handle multiple projects in a fast-paced environment
  • Ability to adapt quickly to changes in the work environment and priorities
  • Ability to manage frequent requirement changes
  • Ability to work collaboratively in a team environment