Data Analyst Tg Quality Foundations

3 months ago

Canada Ubisoft Full time

The Data Analyst creates rich experiences based on analyzing players' interests and needs, a person who excels by analyzing and recommending improvements to the user experience on consoles, mobile platforms and the Web on an Agile team.

**The main tasks are**:

- Identify relevant sources of information to gather, analyze and check data quality and results.
- Communicate the results of the data by highlighting important information for decision-making.
- Build an action plan and work with respective teams to implement and follow up selected recommendations.
- Identify, publish and continually improve the building and communicating of KPIs and other analyses.
- Draft reports and prepare dashboards.
- Create new processes and automate, standardize and optimize existing processes.
- Build analytical models to test various scenarios to determine recommendations to put in place.
- Work with various stakeholders (community managers, marketing, monetization, production, technical operations) to help them make decisions and guide the studio's strategic actions by providing a quantitative logic for potential decisions.
- Perform all other related duties.

**Mandate**:

- **KPIs for Director-Level Decision Making (50%)**:

- Collaborate with product management teams & CPIs to understand strategic objectives and key priorities (ability to clarify & quantify our impacts in production | engines| partners).
- Identify and define key performance indicators (KPIs) at the director level that align with overall production | engines | partners goals and QF product management objectives.
- Develop reporting mechanisms to provide regular updates on KPIs, enabling directors to make informed decisions.
- Continuously assess and refine KPIs based on changing user dynamics and organizational needs.
- ** TGQF Strategic data for production & partners (50%)**:

- Help delivering a set of metrics to evaluate the effectiveness of engineering processes with a specific focus on quality.
- Implement tools and systems to automate the collection and reporting of quality engineering metrics.
- Collaborate with cross-functional teams to ensure alignment of quality metrics with overall organizational objectives.

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