Senior Game Data Analyst

Gameloft

| Ho Chi Minh City, Vietnam (Hybrid) | Contract | 1 day ago

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Job Summary

This role involves generating and delivering systematic reports, developing interactive dashboards for data mining and visualization, and proactively analyzing data to optimize user acquisition, retention, and monetization strategies. The Senior Game Data Analyst will also debug issues to ensure data accuracy, communicate insights to development teams, and contribute to the technical data team's skill improvement.

Must Have

Generate large systematic reports and one-off analyses
Deliver ongoing reports and monitor performance from multiple data sources
Collaborate on developing interactive dashboards for data mining and visualization
Proactively develop new analyses and insights to drive decisions and strategies
Debug and resolve issues to ensure accurate metrics delivery
Communicate daily with development teams to suggest ideas and changes
Curate, clean, segment, model, and analyze vast amounts of customer data
Collaborate with international data experts and contribute to team skill improvement

Job Description

JOB DETAILS

If you’re looking for an exciting challenge opportunity and want to work with a group of bold and talented people, don’t hesitate and join us in Saigon!

Job responsibilities:

Generating large systematic reports as well as smaller, one-off pieces of analysis.
Delivering ongoing reports and performance monitoring from multiple data sources.
Collaborating in the development of interactive dashboards for data mining and visualization.
Proactively developing new analyses and insights, deconstructing and optimizing existing systems to drive decisions and strategies for user acquisition, retention and monetization.
Debugging and resolving issues to ensure the delivery of accurate metrics.
Communicating daily with development teams to suggest ideas and changes.
Curate, clean, segment model and analyze vast amounts of data from our customers.
Collaborate with an international team of data experts, share their knowledge, and contribute to improving the skills of the technical data team.