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Analytics Intern Jobs in Texas (NOW HIRING)

Ticket Sales & Fan Analytics Intern

Sherman, TX · On-site

$13 - $17.50/hr

Ticket Sales & Fan Analytics Intern Are you a detail-oriented and analytical individual with a passion for sports and data? The Sherman Shadowcats are seeking a dynamic Ticket Sales & Fan Analytics ...

You'd join the Data & AI team in Austin, reporting to our Head of Analytics, and spend the fall fixing that for the reports and topics people use most. This is real ownership, not shadowing. You'll ...

Customer Analytics Intern Job Location: Denton, Texas United States At Tetra Pak we commit to making food safe and available, everywhere; and we protect what's good - protecting food, protecting ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

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Analytics Intern information

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How much do analytics intern jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for analytics intern in Texas is $15.87, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.93 per hour, depending on experience, location, and employer.

What does an analytics intern do?

An Analytics Intern typically assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software to create reports, spot trends, and provide insights. The role may also involve cleaning data, preparing presentations, and supporting senior analysts in various projects. This position is ideal for students or recent graduates looking to gain practical experience in data analytics and business intelligence.

What skills and qualifications are needed to be an analytics intern?

To thrive as an Analytics Intern, you need a strong foundation in quantitative analysis, statistical methods, and proficiency in data interpretation, often supported by coursework in mathematics, statistics, or related fields. Familiarity with tools like Microsoft Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Attention to detail, problem-solving ability, and effective communication are critical soft skills that help convey insights clearly and work well within a team. These skills ensure that analytical tasks are performed accurately and findings can be translated into actionable business strategies.

What types of projects and tasks does an analytics intern typically work on?

As an Analytics Intern, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, conducting exploratory data analysis, creating dashboards or reports, and supporting more senior analysts with ad hoc data requests. Interns often collaborate closely with both technical teams and business stakeholders to understand project goals and deliver actionable insights. This hands-on experience not only builds practical analytical skills but also provides exposure to real-world business challenges, making it an excellent learning opportunity. Additionally, interns may present findings to team members or participate in brainstorming sessions, gaining valuable communication and teamwork experience.

What is the difference between Analytics Intern vs Data Analyst?

AspectAnalytics Intern
Required CredentialsTypically pursuing or recent graduate in related field; no extensive experience needed
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firms
Employer & Industry UsageCommonly used in companies seeking entry-level support for data projects
Comparison SummaryThe Analytics Intern role is an entry-level position aimed at students or recent graduates gaining practical experience. In contrast, a Data Analyst typically requires more experience and skills, handling complex data analysis tasks. Internships serve as a stepping stone into the data industry, while Data Analysts are full-time professionals responsible for ongoing data insights and reporting.

What is an analytics intern?

An analytics intern is a temporary position typically held by students or entry-level professionals to support data analysis tasks. They often work with tools like Excel, SQL, or Tableau and assist in collecting, processing, and interpreting data to help organizations make informed decisions.

What are the most commonly searched types of Analytics jobs in Texas?

The most popular types of Analytics jobs in Texas are:

What cities in Texas are hiring for Analytics Intern jobs?

Cities in Texas with the most Analytics Intern job openings:

Infographic showing various Analytics Intern job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $33,014 per year, or $15.9 per hour.

Commodity Trading Analytics Internship Program

Houston, TX • On-site

$68K - $100K/yr

Full-time, Internship

Posted 14 days ago


Key responsibilities

  • Work closely with a front office team on data-led projects within North American power and gas, FTR, structured products and origination, or West Power.

  • Analyse large market, trading and fundamental datasets to support forecasting, valuation, risk analysis and commercial decision-making.

  • Develop, test or improve analytical tools, models, dashboards or workflows using Python and other relevant tools.


Job description

About Us
Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is "asset light" and highly diversified - giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies.
In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients' renewable power. The acquisition also expanded Engelhart's capabilities into physical natural gas across North America, a critical fuel to support the energy transition.
Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship.
Commodity Trading Analytics Internship Program
Six-Month Internship: June 15 - December 16, 2027
Houston and NYC (full-time, on site)
Closing Date: September 13, 2026
Salary Range: $68,000 - $100,000 annualised
Engelhart's Internship Program offers a unique opportunity to gain hands-on experience with North American Front Office teams working at the intersection of commodities markets, data, analytics, modelling and trading. Interns will contribute to practical, data-led projects that support commercial decision-making, forecasting, risk analysis and market insight across power, gas, and broader commodity markets. To be eligible for consideration, applicants must have the right to work in the United States for the full duration of the internship and be available to commence their six-month internship on site from June 15, 2027.
The internship opportunities covered by this advert are as follows:
  • Quantitative Development Intern, Houston
  • Quantitative Research Intern, Houston
  • NA Power & Gas Analytics Intern, Houston
  • FTR Analytics Intern, Houston
  • NA Structured Products & Origination Analytics Intern, Houston
  • West Power Analytics Intern, New York

Applicants may indicate areas of particular interest during the process. All roles require strong analytical and technical skills, with opportunities spanning data analysis and visualisation, machine learning, forecasting, financial modelling, statistics/econometrics and quantitative modelling. Final allocation will take into account business need, candidate profile and overall fit.
Please note: annualized salary will depend on location, role requirements and the candidate's overall profile, including educational background, relevant skills and experience. Final compensation will be determined as part of the offer process, and the upper end of the advertised range is expected to apply only in limited cases.
What You Can Expect
  • Hands-on experience on a commodities trading desk, working on analytical projects with real commercial relevance.
  • Exposure to how data, analytics, visualisation, forecasting, machine learning and modelling support trading and commercial decisions across North American power, gas and broader commodity markets.
  • Close learning and mentorship from experienced front office professionals, including direct exposure to desk leadership.
  • A structured six-month internship within a global commodities business, combining cohort-based learning with deep desk integration.

Example Project Areas
Depending on the internship opportunity, projects may include data analysis and visualisation, building models and analytics, improving machine learning models for power prices, gas demand or renewables, working on Monte Carlo simulations and time-series analysis, supporting pricing, valuation, optimisation or portfolio construction problems, developing AI-enabled tools, improving pre-trade pricing or portfolio management of structured origination positions, and producing insights that help inform front office trading and commercial decisions.
Key Responsibilities
  • Work closely with a Houston or New York front office team on data-led projects within North American power and gas, FTR, structured products and origination, or West Power.
  • Analyse large market, trading and fundamental datasets to identify insights that support forecasting, valuation, risk analysis and commercial decision-making.
  • Develop, test or improve analytical tools, models, dashboards or workflows using Python and other relevant tools.
  • Support forecasting, financial modelling, machine learning, statistical/econometric analysis, Monte Carlo simulation or quantitative optimisation activities, depending on desk requirements.
  • Conduct market research and present findings clearly to technical and commercial stakeholders.
  • Contribute to day-to-day desk activity, building practical understanding of how analytics supports trading and portfolio decisions.

About You
Across our 2027 internship program, we are looking for motivated, intellectually curious individuals who are keen to apply strong analytical, quantitative and technical skills to real business challenges in power, gas, renewables and broader commodity markets. You should be comfortable working with data, learning quickly, and collaborating closely with front office teams in a fast-paced trading environment.
The following experiences and skills are essential for application:
  • Strong academic background in a quantitative discipline such as Computer Science, Data Science, Engineering, Physics, Mathematics, Statistics, Economics, Finance or a related STEM field.
  • Strong Python skills, with the ability to analyze, manipulate and interpret complex data sets.
  • Excellent analytical and problem-solving skills, with a structured and detail-oriented approach.
  • Evidence of applying data analysis, coding or quantitative methods to a practical problem, gained through academic projects, internships, research, personal projects or other relevant experience.
  • Demonstrable interest in commodities, power or financial markets, including an ability to discuss relevant market developments, gained through academic study, projects, internships, research or personal interest.
  • Business-level English proficiency.
  • Right to work in the United States for the full duration of the internship.
  • Effective communication skills and a collaborative mindset, with the confidence to work closely with commercial and technical stakeholders.
  • Intellectual curiosity, with the motivation to understand how market fundamentals, data and commercial decisions interact.

The following would be advantageous:
  • Experience with SQL, relational databases, data visualisation, machine learning, AI/LLM tools, Git, financial modelling, advanced Excel/VBA, or working with large market
  • Exposure to forecasting models, valuation, statistics/econometrics, time-series analysis, stochastic modelling, Monte Carlo simulation, optimisation, MILPs or portfolio construction.

We believe in inclusivity and are therefore dedicated to ensuring all employees - across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more - feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.