Data Analyst

1 week ago

Greater London, United Kingdom Eeze Entertainment Malta Limited Full time

Role Overview: We are looking for a highly motivated Data Analyst to join our growing team in the UK. In this role, you will work closely with our Product, Back office and Operations teams to translate business and risk requirements into data logic, design operational dashboards, monitor key risk/operations metrics, and support the development of internal tools that power our back office. Strong communication skills are essential, as you will be expected to work closely with stakeholders across various functions and explain findings to non-technical audiences. Key Responsibilities: Partner with product managers, platform engineers, and operations teams to design and implement data logic for back-office and risk‑control workflows. Build and maintain internal dashboards, operational monitoring, and risk‑related KPI reports. Conduct deep‑div (product and operational analysis to identify anomalies, inefficiencies, and optimisation opportunities. Support requirement scoping for new back-office features (e.g., monitoring logic, risk rules), and turn them into clear data specifications. Ensure data accuracy and consistency by collaborating with engineers on data tracking, table design, and logic validation. Provide ad‑hoc insights to support decision‑making across product and risk teams. Qualifications & Skills: 2+ years of experience in a data analytics or business intelligence role. Proficient in SQL, Python (especially for data analysis), and Tableau (or other BI tools). Strong analytical and problem‑solving skills with a keen eye for detail. Experience working closely with Product, Engineering, or Operations teams. Ability to clearly communicate insights and recommendations to stakeholders with diverse backgrounds. Comfortable working in a fast‑paced and dynamic environment. Mandarin proficiency is preferred. Preferred Qualifications: Experience with risk analytics, operational workflows, BI systems. Familiarity with quantitative methods (funnel conversion, cohort analysis). Solid foundation in statistics and data interpretation. Experience working on mobile app or web product analytics. Familiarity with modern big data frameworks (e.g., Spark, Hive, Presto, or similar) is a plus. We Offer: Experience a dynamic and team‑oriented work environment. Opportunities for personal growth and learning. An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome. 26 days paid holiday per year, in addition to local public holidays. Competitive salary. Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance. Team Building activities. Local discounts and more... #J-18808-Ljbffr

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