Randstad Argentina
Data Analytics Intern
Randstad ArgentinaArgentina12 hours ago
Full-timeHuman Resources

We are looking for Data Analytics Interns to join our team! The company provides an excellent learning environment where interns will support the Data Analytics team in strengthening the Analytics Value Chain—collecting the right data, conducting insightful analyses, and driving data-driven business decisions that create value for our clients and the company.


Key Responsibilities

Data Analysis & Development (80%)

  • Collect, analyze, and report key data metrics to support business decisions.
  • Assist in the development and optimization of analytical processes.
  • Utilize various reporting tools to manage and interpret data for multiple projects.
  • Research emerging technologies to enhance data-driven decision-making.

Project Management (20%)

  • Develop Power BI interactive dashboards to present key insights to business teams.
  • Participate in brainstorming sessions to contribute innovative solutions.
  • Assist in process mapping, standard operating procedures, and work instruction development to enhance efficiency.


What You’ll Gain

This internship provides valuable hands-on experience in:

Corporate work environments and business decision-making

Critical thinking and problem-solving skills

Data modeling and analytics techniques

Advanced analytical tools like SQL, SQL Server, SAS, and Power BI

Effective business presentations and data-backed recommendations

Understanding of Data Warehousing principles and best practices

Translating data insights into actionable business strategies

Qualifications

Basic Requirements

  • Currently in 3rd or 4th year of an undergraduate program in Mathematics, Computer Science, Statistics, Business Management, Information Systems, or a related field. (Master’s degree candidates also considered.)
  • 2+ years of experience with SQL, Excel, SSRS, and Power BI.


Other Skills & Attributes

  • Strong teamwork and collaboration skills.
  • Excellent written and verbal communication.
  • Detail-oriented with strong organizational and follow-up skills.
  • Ability to prioritize tasks in a fast-paced environment.
  • Self-motivated with minimal supervision needed.
  • Professional demeanor with a positive, solution-oriented mindset.
  • Strong analytical and strategic thinking abilities.
  • Quick learner with the ability to adapt to new technologies.
  • Comfortable working in ambiguous situations and making sound decisions with limited information.


Preferred Qualifications


  • Proficiency in Microsoft Office Suite.
  • Experience in SQL Server, Digital Analytics, Machine Learning, Power BI, and Data Management/Warehousing.

Key Skills

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