Data Analytics Intern – Handshakes 2026 Internship Program

Handshakes 2026 Internship Program
Data Analytics Intern

As part of our commitment to nurturing and developing promising young talent, Handshakes is launching the 2026 Internship Programme. This programme provides an opportunity for students to gain practical experience while developing valuable technical and analytical skills.

As a Data Analytics Intern, you will be encouraged to think creatively, learn new tools, and work on real-world projects. Throughout the internship, you will receive mentorship and guidance from experienced professionals while building hands-on experience in a dynamic technology environment.

We are looking for individuals who are curious, technically inclined, and interested in building a career in data and technology. If you are passionate about working with innovative products and modern data technologies, we invite you to join the team at Handshakes.

What You Will Do

• Analyse data, extract insights, and present findings through reports and visualisations.
• Contribute to the development and maintenance of the organisation’s data warehouse.
• Collaborate with cross-functional teams to define data requirements, metrics, and reporting needs.

Requirements

We would like to hear from you if you are:

• Currently pursuing a Degree in Data Analytics, Business Analytics, or a related field.
• Familiar with SQL, Excel, and at least one programming language such as R or Python.
• Experienced or familiar with data visualisation tools such as Tableau or Power BI.
• Detail-oriented with strong logical and analytical thinking skills.

How to Apply

Interested candidates are required to complete the following steps:

1. Register through this link: Handshakes Internship Program 2026 – Application Form
2. Email your CV or résumé to: hr-recruitment@handshakes.ai

Data analytics sits in an interesting corner of the modern world. Raw data by itself is just noise—millions of rows quietly existing in databases. The real craft is turning that noise into decisions. Internships like this are essentially training grounds for that craft: learning how to ask the right questions of data and letting the numbers answer back.