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

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 ...

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.

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 ...

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 ...

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 ...

New

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 ...

New

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 ...

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Data Analyst Python Sql information

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$31.2K

$75.8K

$124.8K

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

As of Jul 25, 2026, the average yearly pay for data analyst python sql in Katy, TX is $75,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $89,000.00 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 Katy, TX? For Data Analyst Python Sql jobs in Katy, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Katy, TX look for? The top searched job categories for Data Analyst Python Sql jobs in Katy, TX are:
What cities near Katy, TX are hiring for Data Analyst Python Sql jobs? Cities near Katy, TX with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Katy, TX as of July 2026, with employment types broken down into 2% Internship, 70% Full Time, 6% Part Time, and 22% Contract. Highlights an 85% In-person, 2% Hybrid, and 13% Remote job distribution, with an average salary of $75,821 per year, or $36.5 per hour.

Full-time

Posted 10 days ago


Job description

Job Summary:
Foxconn Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated analysts to transform data into actionable insights. This role collaborates with data engineers to visualize data from all kinds of sources within the manufacturing factory setting. The data analyst will analyze, design, create, maintain, update, manage and present Tableau dashboards and stories for the factory management teams. The analyst will also get cross-trained in Cicada, an internal ETL tool, to be self-sufficient with data pipelines and data sets. This role will manage big data that are cross-factory, cross-business-units and cross-systems.
Responsibilities:
  • 10%, Analyze datasets using SQL, Cicada and Python.
  • 60%, Design, create, maintain, update, manage and present Tableau Dashboards.
  • 10%, Identify trends and patterns.
  • 10%, Present actionable insights and findings to stakeholders.
  • 10%, ETL/ manage data pipelines using Cicada.

Skills/Qualifications:
  • Proficiency in Tableau or other data visualization tools, SQL and Excel.
  • Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting.
  • Database development using PostgreSQL 11+.
  • Experience with data warehouse and data lake experiments.
  • Excellent communication, organization, and interpersonal skills.
  • Excellent problem-solving skills with extreme attention to detail.
  • Outstanding work ethic and commitment to individual and organizational success.
  • Excellent analytical and advanced troubleshooting skills with end-users/clients.
  • Ability to manage multiple tasks and projects, both independently and as part of a team.
  • Demonstrated ability to learn new things and continuously drive process improvement.

Plus/Desired:
  • With Electronics Manufacturing Industry domain know-how.
  • Experience with ETL tool programming, debugging, maintenance, and monitoring.
  • Experience with Git Repositories (GITLAB) or JIRA.
  • Experience with Big Data, Python, Kafka and Spark programming, debugging, maintenance, and monitoring.
  • Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher.
  • Experience with backend API integration.

Educational Requirements:
  • Bachelor's degree in Data Analytics, Data Science, Information Systems or related fields.
  • Any Tableau or data visualization professional certifications are a plus.