4h ago
New

Data Analytics Intern

Costa RicaCosta Rica·Herediaentry
AnalyticsData & AI
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Quick Summary

Key Responsibilities

Develop interactive dashboards using Power BI, Tableau, or similar visualization platforms Create clear visualizations that communicate trends, anomalies,

Technical Tools
AnalyticsData & AI
Data Analytics Intern

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

   

Job Family Definition:

Students or recent graduates of college, university, or other accredited academic programs, pursuing diplomas or degrees (Associate, Bachelor’s, Master’s, or PhD) in any field. Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills. Includes internships, research roles, visiting scholar positions, or other program-related opportunities.

Management Level Definition:

Responsibilities:

  • Develop interactive dashboards using Power BI, Tableau, or similar visualization platforms
  • Create clear visualizations that communicate trends, anomalies, and key performance indicators
  • Collaborate with stakeholders to understand reporting requirements
  • Design executive-ready reports with an emphasis on usability and clarity
  • Improve existing dashboards by enhancing performance and user experience
  • Develop Python or R scripts to automate repetitive analysis and reporting tasks
  • Build scheduled reporting processes
  • Assist with exploratory data analysis to identify patterns and opportunities
  • Implement automated data validation and exception reporting
  • Support predictive analytics and machine learning projects where appropriate
    Design, develop, and maintain ETL/ELT data pipelines
  • Acquire, clean, transform, and validate structured and semi-structured datasets
  • Build automated workflows for recurring data processing tasks
  • Develop reusable data models and standardized datasets for analytics
  • Optimize SQL queries and data extraction processes for performance
  • Assist in integrating data from APIs, databases, flat files, and cloud storage
  • Monitor pipeline health and troubleshoot data quality issues
  • Document datasets, schemas, and engineering processes

Education & Experience:

  • Currently pursuing a Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field.

Knowledge & Skills:

  • Experience with: Python or R, SQL and Microsoft Excel
  • Familiarity with: Relational databases, Git or other version control systems, Data cleaning and transformation techniques
  • Strong analytical and problem-solving abilities
  • Curiosity to learn new technologies quickly
  • Ability to explain technical concepts to non-technical audiences
  • Excellent written and verbal communication
  • Attention to detail
  • Self-motivated with strong organizational skills
  • Ability to work independently and within cross-functional teams

Impact/Scope:

  • University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries.


HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.


Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#costarica
#interns

Administration
N/A

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Location & Eligibility

Where is the job
Heredia, Costa Rica
On-site at the office
Who can apply
CR

Listing Details

Posted
October 14, 2026
First seen
October 14, 2026
Last seen
October 14, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
56%
Scored at
October 14, 2026

Signal breakdown

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Data Analytics Intern