Data Intern

About Dentsu:

Led by Dentsu Group Inc. (Tokyo: 4324; ISIN: JP3551520004), a pure holding company established on January 1, 2020, the Dentsu Group encompasses two operational networks: dentsu japan network, which oversees Dentsu’s agency operations in Japan, and dentsu international, its international business headquarters in London, which oversees Dentsu’s agency operations outside of Japan.

With a strong presence in approximately 145 countries and regions across five continents and with 65,000 dedicated professionals, the Dentsu Group provides a comprehensive range of client-centric integrated communications, media and digital services through its five leadership brands—Carat, dentsu X, iProspect, Dentsu Creative, and Merkle—as well as through Dentsu Japan Network companies, including Dentsu Inc., the world’s largest single brand agency with a history of innovation. The Group is also active in the production and marketing of sports and entertainment content on a global scale.

Role Overview

We are looking for a detail-oriented and curious Data Intern with a strong interest in data visualisation and analytical storytelling. This internship will give you hands-on experience with real-world marketing and media data, supporting our analysts and strategists in turning data into insights that drive impactful decisions.

Note: This will be a 6 Months full-time internship.

Key Responsibilities

• Assist in cleaning, processing, and managing datasets using Microsoft Excel, Google Sheets, and Python.
• Create and update data visualisations and dashboards to support client campaigns and internal strategy teams.
• Develop visual reports and charts that communicate trends, insights, and key performance indicators.
• Collaborate with analysts to prepare presentations that incorporate data stories and visual outputs.
• Support ad-hoc data analysis and reporting tasks as needed.

Requirements

• Ideally pursuing a degree in Data Science, Statistics, Marketing Analytics, Computer Science, or a related field.
• Proficiency in Excel and Google Sheets (e.g., pivot tables, VLOOKUP, charts).
• Basic to intermediate experience with Python (especially libraries like Pandas, Matplotlib, Seaborn).
• Strong attention to detail and a knack for visual clarity.
• Willingness to learn and collaborate in a fast-paced, team-oriented environment.
• Bonus: Experience with tools such as SQL, Tableau, or PowerBI.