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Senior Product Analyst - Old School Runescape
Posted 22 days agoViewed
💎 Seniority level: Senior
📍 Location: United Kingdom
🔍 Industry: Video Games
🏢 Company: Jagex Limited
🗣️ Languages: English
Requirements:
- Proven and demonstrable experience working in a consumer, user or player analytics role in a B2C company.
- Familiarity and experience working with modern data architectures (AWS, Snowflake, OLAP)
- Proven experience using modern data visualization tools e.g Tableau, PowerBI etc.
- Strong knowledge and experience working with SQL & Statistical Modeling & Data Cleansing Techniques.
- A genuine interest in the video games industry and the improvement of player experience.
- Demonstrable experience of crafting a clear message for your audience using complex ideas and insights in a simple to understand manner.
- Base understanding of project management, research, and scientific testing.
- Strong domain knowledge in assessing digital products in core statistical modelling and toolsets.
Responsibilities:
- Foster and maintain strong working relationships across the studio to promote a data-driven partnership.
- Generate hypotheses and guidance across many types of data across many groups to grow and improve Old School RuneScape.
- Query and analyse big data to uncover high-value insights with direct impact to improve games and player experience.
- Partner closely with game development and engineering teams in designing telemetry events to better understand product quality.
- Lead insights projects that guide decisions on product and feature roadmaps, using a variety of data sources.
- Deep dive analysis on the impact on the intersection between quality signals and player behaviours, including churn and other factors.
- Brainstorm with development and business teams to direct ambiguous questions or misleading metrics into impactful analysis plans.
- Drive deep, impactful learnings by working across data, game design and research to deliver a story driven direction based in data.
- Present analysis conclusions to business stakeholders in a clear and practical way.
- Partner with data engineering to manage data requirements such as schema requirements and data format to support high-quality deliverables.
- Conduct effective analysis while adhering version control, documentation, and reproducibility.
- Develop a strong understanding of the game mechanics and telemetry.
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