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Python Data Analysis Jobs in Houston, 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 ...

Experience working with Python to perform data analysis, data transformations, and data cleansing * DataOps experience (Team utilizes DataOps.Live platform) Experience * SQL: 8 Years (Required)

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 ...

We work closely with Data Scientists and Data Analysts to transform data into meaningful business ... Experienced in SQL-based and python data manipulation with large datasets. * Thrive in a dynamic ...

Contract (Possibly C2H) Job Summary We are seeking a hands-on Python-focused Data Analyst / Data Scientist with strong problem-solving skills and recent experience working with real-world datasets.

Maintain up-to-date and accurate data analysis and tool documentation for reference purposes ... Understanding of programming languages such as Python, R, Matlab or similar is highly preferred

Maintain up-to-date and accurate data analysis and tool documentation for reference purposes ... Understanding of programming languages such as Python, R, Matlab or similar is highly preferred

Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential. * Build and refine data pipelines using SQL and Python. * Develop entity-matching methods ...

Maintain up-to-date and accurate data analysis and tool documentation for reference purposes ... Understanding of programming languages such as Python, R, Matlab or similar is highly preferred

Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential. * Build and refine data pipelines using SQL and Python. * Develop entity-matching methods ...

Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential. * Build and refine data pipelines using SQL and Python. * Develop entity-matching methods ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data analysis in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What are the most commonly searched types of Python Data Analysis jobs in Houston, TX? The most popular types of Python Data Analysis jobs in Houston, TX are:
What are popular job titles related to Python Data Analysis jobs in Houston, TX? For Python Data Analysis jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Houston, TX look for? The top searched job categories for Python Data Analysis jobs in Houston, TX are:
What cities near Houston, TX are hiring for Python Data Analysis jobs? Cities near Houston, TX with the most Python Data Analysis job openings:
Infographic showing various Python Data Analysis job openings in Houston, TX as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 90% Full Time, 3% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Full-time

Posted 15 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.

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