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Data Analyst Internship Jobs in Spring, TX (NOW HIRING)

Airswift

Master Data Analyst (SAP)

Houston, TX · On-site

The Master Data Analyst (SAP) will support critical master data activities for Material Master, BOMs, Routings and Production Versions in SAP. This role will focus on cleaning up product hierarchy ...

Tcenergy

Project Master Data Analyst

Houston, TX · Hybrid

The Opportunity The Project Master Data Analyst is responsible for managing and maintaining SAP Master Data related to project work, including Functional Locations (FLOC), Equipment, and Preventive ...

Collabera

Data Support Analyst

The Woodlands, TX · On-site

The Data analyst will be part of the support team for ALL questions related to "Tool" and "Data" within the EMIT integrated tool solution. Serve as single point of contact for IT Project tools and ...

Uniper

Natural Gas Trading Analyst

Houston, TX · On-site

Responsibilities : • Programming skills for scraping data, building models, and warehousing data ... internships. Company : Uniper is an international energy company that provides large-scale energy ...

New

Accenture

Data Protection Sr. Analyst

Houston, TX · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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All JobsData Analyst Internship JobsData Analyst Internship Jobs in Spring, TX

Data Analyst Internship information

See Spring, TX salary details

$10

$20

$37

How much do data analyst internship jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analyst internship in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analyst Intern, you need a solid grounding in statistics, data interpretation, and problem-solving, often backed by coursework or a degree in fields like mathematics, computer science, or economics. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization software like Tableau or Power BI is highly valuable. Attention to detail, effective communication, and a willingness to learn are essential soft skills for success in this position. These competencies are crucial for accurately analyzing data, drawing insights, and clearly presenting findings to support business decisions.

What typical projects or responsibilities might I have as a Data Analyst Intern?

As a Data Analyst Intern, you'll likely work on tasks such as cleaning and organizing raw data, running analysis to identify trends or patterns, and assisting with the creation of reports and data visualizations for your team. You may collaborate closely with senior analysts or cross-functional teams to support ongoing projects and business initiatives. Interns commonly get exposure to real-world datasets, participate in team meetings, and sometimes contribute to presentations or process improvement efforts. This hands-on experience is designed to help you develop both your technical and analytical skills while gaining insight into the role of data in business decision-making.

What is a Data Analyst Internship job?

A Data Analyst Internship is a temporary position where interns gain hands-on experience in collecting, organizing, and analyzing data to support business decisions. Interns typically work with large datasets, use tools like Excel, SQL, and Python, and create reports or visualizations. The role helps develop technical skills, analytical thinking, and an understanding of how data-driven insights impact an organization. It is a great opportunity for students or recent graduates to apply theoretical knowledge in a real-world setting.

What are the most commonly searched types of Data Analyst jobs in Spring, TX? The most popular types of Data Analyst jobs in Spring, TX are:
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What cities near Spring, TX are hiring for Data Analyst Internship jobs? Cities near Spring, TX with the most Data Analyst Internship job openings:
Data Analyst Internship jobs near you
Infographic showing various Data Analyst Internship job openings in Spring, TX as of June 2026, with employment types broken down into 43% Internship, 43% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $41,655 per year, or $20 per hour.
Senior AI Data Analyst

Senior AI Data Analyst

Smarter HR Solutions LLC

Houston, TX

$52 - $54/hr

Full-time

Posted 16 days ago

Job description

***Please note: This position is onsite and not remote. Candidates must be based in the Houston area, as relocation assistance is not provided. Only individuals authorized to work in the U.S. without sponsorship will be considered.***

Job Title: Senior AI Data Analyst
Job Type: Contract (this role is a 12-month assignment)
Job Salary: $52-$54/hour
Job Schedule: M-F, 40 hrs/week
Job Location: Houston, TX 77092

Position Overview

We are seeking a Senior AI Data Analyst to lead the design, development, and deployment of advanced analytics and artificial intelligence solutions in a large, data-driven public service environment.

This role plays a critical part in modernizing operations through responsible use of AI, improving service delivery, increasing efficiency, and supporting evidence-based decision-making. The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders.

Key Responsibilities
AI & Advanced Analytics
  • Design, build, and deploy machine learning models, predictive analytics solutions, NLP tools, and AI-driven automation
  • Lead full lifecycle model development: data acquisition, feature engineering, training, validation, deployment, and monitoring
  • Apply responsible AI practices to ensure fairness, explainability, and transparency
Data Strategy & Governance
  • Maintain data quality standards, metadata practices, and model documentation
  • Partner with IT and cybersecurity teams to ensure secure handling of sensitive data
  • Support development of AI governance, ethics frameworks, and model risk management processes
Stakeholder Collaboration
  • Identify opportunities to leverage AI to improve operations and service outcomes
  • Communicate complex findings into clear, actionable insights for executive leadership
  • Provide mentorship and technical guidance to analysts and cross-functional teams
Reporting & Visualization
  • Develop dashboards, reports, and visualizations to track KPIs, trends, and forecasts
  • Build and maintain Business Intelligence solutions (e.g., Power BI)
  • Integrate AI-driven insights into reporting for real-time decision-making

Requirements
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred)
  • 5+ years of experience in data analytics, data science, or AI/ML roles
  • Hands-on experience with machine learning model development and deployment
  • Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar)
  • Experience with NLP, predictive modeling, or automation solutions
  • Strong understanding of data governance, model validation, and performance metrics (e.g., MAE, F1, AUROC)
  • Excellent communication skills with ability to present technical insights to non-technical audiences
Preferred Qualifications
  • Experience working with large, complex datasets in regulated environments
  • Familiarity with MLOps, model monitoring, and lifecycle management
  • Exposure to geospatial analytics, LLMs, or advanced AI frameworks
  • Experience implementing responsible AI or ethical AI frameworks
What You’ll Deliver
  • Production-level AI solutions improving internal workflows or customer-facing services
  • Executive-facing dashboards with near real-time insights
  • Established data quality standards and governance practices
  • AI governance workflows including bias testing, documentation, and monitoring
  • Scalable processes for cross-functional AI project delivery