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Entry Level Python Data Analysis Jobs in Houston, TX

Turn2Partners

Junior Data Analyst

Texas City, TX · On-site

At least six months of data analysis, reporting, or related experience, including internships ... Exposure to SQL, Tableau, or Python is preferred. * Ability to manage multiple priorities and work ...

ClifyX

AWS Cloud Architect

Houston, TX · On-site

$80 - $83/hr

Shell scripting, Python * Data Warehousing and ETL Tools: Informatica PowerCenter, Informatica Cloud * Hands on experience on real time processing of data * Big Data and Analytics (understanding)

Dlapiper

Data Engineer

Houston, TX

$109K - $131K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

Research and devise innovative statistical models for data analysis * Communicate findings to all ... Java/Python, SAS) * Ability to work effectively in a dynamic, research-oriented group that has ...

Woodside Energy Ltd

Subsurface Data Analyst

Houston, TX · On-site

... analysis processes. This role will report to the Manager of Subsurface Data Services and is based ... Hands-on coding experience with Python or related scripting tools to automate data loading tasks.

Houston Rockets -- Toyota Center

Analyst

Houston, TX · On-site

Conduct comprehensive data analysis to inform strategic business decisions. Methodologies may ... Leverage multiple programming languages (SQL, R, Python, etc.) to query, connect, and validate data ...

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

We are seeking a highly analytical and experienced Senior Data Engineer to help optimize production ... This role requires a unique combination of deep Python expertise, mastery of modern data processing ...

W3Global

Senior Data Scientist

Texas City, TX · On-site

... as Python or R. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Solid understanding of statistical analysis techniques and data modeling. - Proficiency in ...

Marici Solutions

Senior Data Scientist

Texas City, TX · On-site

Data Analysis, Machine Learning Algorithms, Deep Learning Frameworks, Lang chain, AWS Bedrock, AWS ... Strong proficiency in programming languages such as Python or R. * Experience with machine learning ...

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Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for entry level python data analysis in Houston, TX is $31.44, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $35.14 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

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Entry Level Python Data Analysis jobs near you
AI & Data Analytics Co-op/Intern

AI & Data Analytics Co-op/Intern

Amot Controls Corporation

Houston, TX • On-site

Full-time

Posted 19 days ago

Job description

Position Type: Co-op / Internship (Graduate-level, semester or summer term)
Location: [On-site - Houston]
Duration & Schedule: 10-12 week summer internship OR 4-8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).
Key Responsibilities:
  • Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.
  • Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.
  • Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.
  • Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.
  • Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.
  • Support adoption through training, documentation, and change-management support.
  • Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:
  • Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
  • Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
  • Working knowledge of SQL - able to write joins, aggregations, and window functions against a relational database.
  • Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
  • Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
  • Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:
  • Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.
  • Exposure to the Microsoft Azure AI stack - Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.
  • Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.
  • Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.
  • Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.
  • Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.

What You Will Gain:
  • Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
  • Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
  • A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.

Other:
  • Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.
  • Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.

Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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