- Birmingham, West Midlands
- Contract
- £250 to £265 /Day
- Standard
- Expires In a month
Title: Commerce Data Analyst (Gaming)
Start Date: ASAP
Location: Birmingham
Type: Hybrid (1 day onsite)
Contract: 18 Months
Salary: £265 per day (PAYE)
Key Responsibilities:
Start Date: ASAP
Location: Birmingham
Type: Hybrid (1 day onsite)
Contract: 18 Months
Salary: £265 per day (PAYE)
Key Responsibilities:
- Analyze and develop a deep understanding of in-game economies, sharing insights across teams.
- Identify opportunities for improvement in-game monetization and provide valuable strategic input.
- Partner with the Monetisation team to deliver critical analyses and insights.
- Develop and roll out reporting systems to track currency trends and spot optimization opportunities.
- Provide data-driven insights to balance in-game economies, fostering long-term player retention and engagement.
- Enhance predictive capabilities to identify new opportunities.
- Work closely with the analytics team to drive deeper insights and improvements.
- Own and refine economy reporting assets to provide clarity for stakeholders.
- Collaborate with stakeholders to drive iterative improvements through data-driven decision-making.
- Proven experience as an analyst in a commercial role.
- Strong understanding of digital product analytics, including telemetry and monetization KPIs.
- Proficiency in SQL and/or Python.
- Strong analytical skills and expertise in Excel.
- Experience with data visualization tools such as Power BI or Tableau.
- Excellent communication, organizational, and collaboration skills.
- Experience with stakeholder management.
- Ability to work independently from briefing to analysis and presentation.
- Experience collaborating with data engineers for data asset deployment and management.
- Proven track record of leveraging data-driven decision-making for iterative improvements.
- Experience in the gaming industry, particularly with Games as a Service (GaaS), mobile titles, or digital storefronts.
- Proficiency in Python, R, Databricks, or Power BI.
- Hands-on experience with economy analysis.
- Familiarity with A/B testing, recommendation systems, and player segmentation.