ZipRecruiter

Log In

1

Analytics Engineer Intern Jobs in Puerto Rico (NOW HIRING)

On Point Strategy LLC

PR · On-site

$16.25 - $21.25/hr

Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a story, and we make that story visible. We are looking for an Analytics Engineering Intern who is ...

SOLX HOLDINGS LLC

PR · On-site

Contribute to computer-vision and manufacturing-analytics features on the line. * Write clean ... Programming experience (Python, TypeScript/JavaScript, or similar). * Curiosity about applying ...

SOLX HOLDINGS LLC

PR · On-site

$15 - $19.50/hr

Support process engineering across stringing, layup, lamination, framing, and testing ... Analyze yield, throughput, and downtime data and propose improvements. * Help develop standard work ...

ABB

Intern

Vega Baja, PR · On-site

... Engineering or Electrical Engineering, in the United States. • Intern must have reliable ... to analyze complex situations and develop strategic solutions. • Effectively organize and ...

ABB

PR · On-site

Currently enrolled in a bachelor's or master's degree program in Industrial Engineering, Software ... Utilize critical thinking skills to analyze complex situations and develop strategic solutions.

New

Abb Holdings Inc

Intern

Vega Baja, PR · On-site

... Engineering or Electrical Engineering, in the United States. • Intern must have reliable ... to analyze complex situations and develop strategic solutions. • Effectively organize and ...

All JobsAnalytics Engineer Intern JobsAnalytics Engineer Intern Jobs in Puerto Rico

Analytics Engineer Intern information

What does an analytics engineer intern do?

An Analytics Engineer Intern supports the data team by building and maintaining analytics infrastructure, such as data pipelines and dashboards. They work with both raw data and business teams to ensure data is accessible, clean, and ready for analysis. Typical responsibilities include writing SQL queries, developing data models, and collaborating with data analysts and engineers to deliver insights. The role provides hands-on experience with data tools and real-world business problems, serving as a bridge between engineering and analytics. This helps organizations make data-driven decisions more efficiently.

What are the key skills and qualifications needed to thrive as an analytics engineer intern?

To thrive as an Analytics Engineer Intern, you need a solid understanding of data analysis, SQL, and foundational programming concepts, often supported by coursework in computer science, statistics, or a related field. Familiarity with data warehousing tools such as dbt, cloud platforms like Snowflake or BigQuery, and visualization tools like Tableau or Looker is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly will help you stand out in this role. These skills and qualities are vital for transforming raw data into actionable insights and ensuring data-driven decision-making within organizations.

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

AspectAnalytics Engineer InternData Analyst Intern
Required skillsSQL, data modeling, basic scripting, cloud platformsExcel, SQL, data visualization, statistical analysis
Work environmentCollaborates with data engineering and analytics teams, often in tech or data-driven companiesWorks with business teams to interpret data, often in various industries
Typical tasksBuilding data pipelines, optimizing data workflows, supporting analytics infrastructureAnalyzing datasets, creating reports, visualizations, and insights

In summary, Analytics Engineer Interns focus on developing and maintaining data infrastructure and pipelines, often requiring technical skills like SQL and scripting. Data Analyst Interns primarily interpret data through analysis and visualization to support business decisions. Both roles are essential in data-driven organizations but differ in technical depth and focus.

How does an analytics engineer intern typically collaborate with data scientists and business analysts during a project?

As an Analytics Engineer Intern, you’ll often serve as the crucial link between raw data and actionable insights. You’ll work closely with data scientists to ensure datasets are properly structured, clean, and optimized for modeling, while also partnering with business analysts to translate their requirements into clear data models and visualizations. Successful collaboration involves regular meetings, iterative feedback, and clear documentation so that everyone can leverage the data effectively. This cross-functional teamwork not only enhances your technical skills but also helps you develop a deeper understanding of how analytics drives business decisions.

What are the most commonly searched types of Analytics Engineer jobs in Puerto Rico?

The most popular types of Analytics Engineer jobs in Puerto Rico are:

What are popular job titles related to Analytics Engineer Intern jobs in Puerto Rico?

For Analytics Engineer Intern jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer Intern jobs in Puerto Rico look for?

The top searched job categories for Analytics Engineer Intern jobs in Puerto Rico are:

Analytics Engineer Intern jobs near you
Infographic showing various Analytics Engineer Intern job openings in Puerto Rico as of June 2026, with employment types broken down into 5% Internship, 66% Full Time, 16% Part Time, and 13% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Analytics Engineering Intern

On Point Strategy LLC

PR • On-site

$16.25 - $21.25/hr

Internship

Re-posted 21 days ago

Job description

Analytics Engineering Intern


Position Summary

At On Point Strategy, we believe that data tells a story, and we make that story visible.


We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.


As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.



Key Responsibilities

  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation initiatives.
  • Collaborate on process optimization and automation projects across teams.



Technical Requirements

  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.



Professional Qualifications

  • Currently pursuing a Bachelor’s degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.



Preferred Qualifications

  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.


Why Join Us

  • Gain hands-on experience working on real business and analytics projects.
  • Receive mentorship and hands-on exposure to real-world analytics and automation projects.
  • Learn from a multidisciplinary team that combines strategy, analytics, and creativity.
  • Develop technical and professional skills in a collaborative environment.
  • Opportunity for growth and future career opportunities within the organization.



Additional Information

  • Candidates are encouraged to share academic, personal, or GitHub projects related to analytics, automation, programming, or data visualization.