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Data Analytics Intern Jobs in Houston, TX (NOW HIRING)

Intern, Trading Analytics 2027

Houston, TX ยท On-site

$14.25 - $19/hr

The Trading Analytics Intern supports ConocoPhillips' Strategy, Analytics & Portfolio Optimization ... Pursuing a Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Data Science ...

... data sources, and expand adoption of analytics capabilities. * Serve as the ongoing supervising lead for the Procurement Analytics intern program, providing direction, coaching, meaningful work ...

... data sources, and expand adoption of analytics capabilities. * Serve as the ongoing supervising lead for the Procurement Analytics intern program, providing direction, coaching, meaningful work ...

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Data Analysis & Reporting * Support basic data analysis to surface insights that support program ...

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Data Analytics Intern information

See Houston, TX salary details

$11

$21

$40

How much do data analytics intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data analytics intern in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analytics intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern?

A data analytics intern position is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Applicants usually need to demonstrate analytical abilities and may be required to work part-time or full-time during a specific internship period.

What are the most commonly searched types of Data Analytics jobs in Houston, TX?

The most popular types of Data Analytics jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Analytics Intern jobs?

Cities near Houston, TX with the most Data Analytics Intern job openings:

Infographic showing various Data Analytics Intern job openings in Houston, TX as of August 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

Engineering: Data Visualization & Analytics Intern

Foxconn Industrial Internet

Houston, TX โ€ข On-site

$16 - $20.75/hr

Part-time, Internship

Posted 4 days ago


Job description

Foxconn Industrial Internet is seeking a motivated and technically strong Engineering Data Visualization & Analytics Intern to join our Engineering and Operations team in Houston, TX for the Fall 2026 Internship Program. This is a part-time, 20-hour-per-week role running 13 weeks (August 31 - November 27, 2026).
The intern will work closely with engineering, operations, and IT teams to develop and enhance Tableau dashboards that deliver real-time visibility into key manufacturing and operational metrics. The focus of this role is on transforming raw data into actionable insights - improving reporting consistency, standardizing KPI methodologies, and enabling data-driven decision-making across the organization.
DUTIES AND RESPONSIBILITIES
  • Design, develop, and maintain Tableau dashboards that support engineering, manufacturing, and operations teams with real-time visibility into key metrics.
  • Analyze business and operational requirements to translate stakeholder needs into effective data visualizations and reporting solutions.
  • Support the standardization of key performance metrics and reporting methodologies across engineering and operations functions.
  • Collaborate with engineering, operations, and IT stakeholders to identify reporting gaps, dashboard enhancement opportunities, and new data requirements.
  • Validate data accuracy and ensure consistency across all reports and dashboards before deployment.
  • Assist with data extraction, transformation, and preparation from various sources to support reporting and visualization needs.
  • Create and maintain documentation covering dashboard development standards, data sources, and reporting processes to ensure continuity and knowledge transfer.
  • Present dashboard updates, findings, and project recommendations to engineering and operations stakeholders.

REQUIRED SKILLS & TECHNICAL PROFICIENCIES
  • Experience with Tableau, Power BI, or similar data visualization tools strongly preferred. Tableau will be the primary platform used in this role.
  • Familiarity with SQL and data querying techniques for extracting and preparing data from relational databases.
  • Proficiency in Microsoft Excel for data analysis, validation, and reporting support.
  • Understanding of dashboard design principles and data visualization best practices.
  • Experience working with large datasets and operational or performance metrics.
  • Knowledge of Power BI, Python, or other analytics and automation tools is a plus.
  • Familiarity with manufacturing, engineering, or operational reporting environments is a plus.
  • Strong analytical and problem-solving skills with the ability to interpret complex data and present it clearly.
  • Strong written and verbal communication skills for stakeholder collaboration and presentation delivery.

QUALIFICATIONS
  • Currently enrolled in a Bachelor's or Master's degree in Data Analytics, Business Analytics, Management Information Systems, Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering or a related field.
  • Detail-oriented and methodical, with a strong commitment to data accuracy and documentation quality.
  • Self-motivated and proactive, with the ability to manage assigned workstreams independently while collaborating closely with the engineering and operations teams.
  • Comfortable working in a dynamic manufacturing environment where priorities can shift and adaptability is key.
  • Curious about process improvement, digitalization, and how data can drive better manufacturing outcomes.
  • Able to translate technical findings into clear, actionable summaries for both technical and non-technical audiences.
  • Minimum GPA of 3.0 or higher preferred.

WORK SCHEDULE & COMPENSATION
  • Part-time: 20 hours per week.
  • Flexible scheduling available to accommodate academic commitments.
  • Compensation commensurate with experience and qualifications.
    Foxconn Assembly, LLC is an Equal Opportunity Employer (EOE). All qualified candidates will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or marital status in accordance with applicable federal, state and local laws.
    Foxconn Assembly, LLC participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.