Data Analyst - Marketing Analytics H/F Ubisoft

This position will be responsible for gathering, structuring, and analyzing data to derive compelling insights that drive the optimization of our marketing initiatives. This includes the design and management of data collection and analytics solutions, analysis of the performance of marketing initiatives and their effect on engagement, conversion, and retention, working with EP and Brand teams, Marketing teams, and Business Hubs.

Responsibilities:

Help stakeholders make data-driven decisions.

- Translate the business questions and challenges from the stakeholders into Analytics projects.
- Deliver a cross-channel, brand level view of performance, insights, and recommendations.
- Convey the findings on campaign performance and drive optimization decisions with the stakeholders.
- Provide data analysis and reporting to identify trends and opportunities across channels, audience segments, and player segments.
- Set marketing targets based on financial ambition and industry benchmarks.

Work with marketing teams to ensure marketing efforts are effective and drive incremental engagement and conversion.

- Perform measurements and develop testing strategies.
- Develop A/B and multivariate testing strategies.
- Use predictive analytics to analyze data from viewership, website interactions, media campaigns, CRM, and social platforms.
- Develop robust analytic processes to frame campaign expectations, inform decision-making, and recommend marketing strategies.

Develop data science models and use statistical analysis to answer business questions from both brands and marketing service teams.

- Partner closely with Brand and Marketing teams to define measurement plans, generate insights, and deliver data driven POVs.
- Synthesize data from various sources to deliver actionable insights and codify learnings as best practices. Provide marketing data insight generation. Create narratives and actionable insights from complex data.
- Define and implement strategies for measuring and optimizing the impact of marketing activities on sales and user engagement.

Create, guide, and distribute data and insights via regular and ad-hoc reporting utilizing analytics tools (SQL, Tableau, Excel, PowerPoint, Jupyter Hub, Dagster).