Gameloft - Product marketing assistant (6-month internship)

Deadline: As soon as possible

Internships

Companies

Location(s)

Italy

Milan

Overview

Within the Gameloft Business Solutions division, the GBS Store team develops global product templates that regional teams adapt to their local markets. As a Product Specialist Trainee, you will help transform ideas into new features used across our subscription-based digital services.

Details

What it means on a daily basis

Data analysis & insights: Monitor KPIs such as user engagement, conversion rates, and retention. Extract actionable insights from datasets using Excel, Google Sheets, or BI tools. Build clear reports highlighting trends, anomalies, and opportunities.
Product development support: Contribute to the scoping and documentation of new product features, and help set up, run, and evaluate A/B tests.
Cross-functional collaboration: Work with UX/UI Design, Engineering, and regional Product Leads to bring features from concept to launch
Market and competitive research: Monitor competitor offerings and industry trends, and support idea generation to continuously improve the product.

Who you will be working with

You’ll work with data, support product development, and collaborate with multiple teams while learning alongside the Director of Operations & Business Analytics.

Opportunity is About

Economics & Business Media, Marketing & PR

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

WHO YOU ARE

Structured and organized working style, able to manage tasks and priorities clearly
Collaborative mindset, comfortable working with multiple stakeholders and learning from them
Someone who is motivated about their work and a passionate about the gaming industry !

WHAT YOU NEED TO SUCCEED

Currently enrolled in a Bachelor’s program in its final year or a Master’s program, in one of the following fields: Data Science, Business Analytics, Economics (quantitative focus), Computer Science, Software Engineering, or a related field, with relevant coursework or projects in data analysis, statistics, product management, or software development
Experience analyzing data with Excel or Google Sheets (pivot tables, charts, formulas)
Experience with product analytics, running A/B tests, or similar experimentation.
Clear written and verbal communication in English
Bonus: familiarity with Jira or Confluence and basic knowledge of product testing or experimentation
Fluent English mandatory.

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

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