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Data Analyst Intern Fall Jobs in Houston, TX (NOW HIRING)

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

The Sales Analyst Intern supports various internal teams, including Sales, Finance, Accounting ... You will assist with sales data analysis, contract renewal engagement, revenue retention support ...

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The Sales Analyst Intern supports various internal teams, including Sales, Finance, Accounting ... You will assist with sales data analysis, contract renewal engagement, revenue retention support ...

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Data Analyst Intern Fall information

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How much do data analyst intern fall jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analyst intern fall 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 is a data analyst intern fall?

A Data Analyst Intern for the Fall term is a temporary position where a student or recent graduate gains hands-on experience in analyzing data to support business decisions. Interns typically work with datasets, create visualizations, and assist in generating insights to improve processes. They may use tools like Excel, SQL, Python, or Tableau to analyze trends. This internship helps develop technical and problem-solving skills while providing exposure to real-world data projects.

What do data analyst interns do during the fall?

As a Data Analyst Intern in the Fall, you’ll typically assist with gathering, cleaning, and interpreting data to support ongoing projects across the team. You may work on preparing reports, visualizing data trends, automating routine analysis tasks, or supporting ad hoc requests from different departments. Team environments are often collaborative, so you can expect to interact with other data analysts, engineers, and business stakeholders to understand project goals and deliver actionable insights. This hands-on experience not only builds technical skills but also strengthens your ability to contribute effectively in a professional, fast-paced setting.

What skills and qualifications are needed for a data analyst intern fall?

To thrive as a Data Analyst Intern in the Fall, you should have a solid grounding in statistics, data interpretation, and basic programming, often supported by coursework in data science, mathematics, or related fields. Familiarity with data analysis tools such as Excel, SQL, Python, or Tableau, and any relevant certifications, is highly advantageous. Strong communication, attention to detail, and a proactive approach to problem-solving are key soft skills that stand out in this role. These abilities are crucial for analyzing complex datasets, contributing actionable insights, and effectively collaborating with team members during your internship.

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

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

Infographic showing various Data Analyst Intern Fall job openings in Houston, TX as of August 2026, with employment types broken down into 13% Internship, 54% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

Commodity Trading Analytics Internship Program

Engelhart

Houston, TX • On-site

$68K - $100K/yr

Full-time, Internship

Posted 7 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.