Data Analyst Intern - Summer 2023
Toronto, ON, Canada
Gameloft
The Leader in the development and publishing of mobile games, Gameloft® has established itself as one of the top innovators in its field since 2000.Company Description
Are You Looking for a Great Place to Work? #Jointhegame
Leader in the development and publishing of mobile games, Gameloft® has established itself as one of the top innovators in its field since 2000. Gameloft creates games for all digital platforms, two of which are featured in the “Top 10 Games by All-Time Worldwide Downloads” from App Annie. Gameloft operates its own established franchises such as Asphalt®, Order & Chaos, Modern Combat and Dungeon Hunter and also partners with major rights holders including Universal, Illumination Entertainment, Disney®, Marvel®, Hasbro®, Fox Digital Entertainment, Mattel® and Ferrari®. Gameloft distributes its games in over 100 countries and employs 4,600 people worldwide. Every month, 114 million unique users can be reached by advertisers in Gameloft games with Gameloft Advertising Solutions, a leading B2B offering dedicated to brands and agencies. Gameloft is a Vivendi company.
All trademarks referenced above are owned by their respective trademark owners.
Job Description
Job Description
During the internship period, you will be assigned to a specific project and collaborate closely with our live game teams: product managers, game economy designers, game designers and user acquisition managers, under the supervision of the lead data analyst and the monetization director. Together with other data analysts, data scientists and data engineers, you will be able to deep dive into our massive player data in-game, predict, segment and analyze player behaviours.
From the beginning of your adventure with us, you will be called to:
- Build both large systematic reports and one-off small pieces of analysis
- Provide ongoing reporting and performance monitoring from multiple data sources
- Create performant SQL scripts for game analysis
- Proactively develop new analyses and insights, to drive decisions and strategies for user acquisition, retention, and monetization
- Debug and solve issues to ensure the delivery of accurate metrics
Qualifications
Qualifications
- Last year study of a degree in computer science, applied mathematics, data science or another technical field with strong IT skills
- Advanced SQL skills; experience querying large complex data sets, experience with window functions
- Familiar with data visualization
- Relevant experience performing quantitative analysis, preferably for gaming, internet or technology company
- Basic statistics knowledge
- Strong presentation skills; effectively present insights from quantitative analysis to a non-analytical audience
- Autonomous and team player, detail-oriented
- Passion for video games
Additional Information
Additional information
What we offer:
- Hybrid approach to work to give you work-life balance
- Flexible working hours to suit your schedule
- Employee Assistance Program; because sometimes we need a helping hand
- Social Club events with awesome prizes and giveaways
- Dog-friendly Studio
Why join the Gameloft universe?
- Because you want to be part of an exceptional experience, within a company that is constantly growing!
- Because you want to work with talented people who are industry pioneers!
- Because you want to join a global company and meet great people around the world from all walks of life.
- Or, just because you’re looking for a great place to work!
We can’t wait to find our next great talent!
- Please submit your CV, cover letter and portfolio or work examples (if applicable)
- Please note that only selected candidates will be contacted and your CV will be saved in our files for a period of 6 months.
Gameloft Toronto is an equal opportunity employer and is committed to fostering diversity and inclusivity within our work environment. Gameloft Toronto welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Code: #LI-RD2
Tags: Computer Science Data visualization Mathematics SQL Statistics
Perks/benefits: Career development Flex hours Flex vacation Team events
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