Data Analyst; Chinese Speaking
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-17
Listing for:
Eeze
Full Time
position Listed on 2026-02-17
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst -
Business
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Location: Greater London
We are looking for a highly motivated Data Analyst to join our team in the UK. In this role, you will work closely with Product, Commercial, and Operations teams to analyse business and product performance, build dashboards and reports, and deliver data-driven insights that support decision-making. You will help translate business questions into analytical frameworks, turn data into clear and actionable insights, and communicate findings effectively to non-technical stakeholders.
Key Responsibilities- Partner with business and product stakeholders to understand analytical needs and translate them into structured data questions.
- Build and maintain dashboards and reports to track product performance, business outcomes, and key KPIs.
- Conduct deep-dive analysis on business performance, product usage, and customer-related metrics to identify trends, opportunities, and risks.
- Support data-driven decision-making by providing clear insights, summaries, and recommendations.
- Collaborate with data engineering teams to ensure data accuracy, consistency, and correct metric definitions.
- Deliver ad-hoc analysis and insights to support ongoing business and commercial initiatives.
- 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, Commercial, or Operations teams.
- Ability to clearly communicate insights and recommendations to stakeholders with diverse backgrounds.
- Comfortable working in a fast-paced and dynamic environment.
- Familiarity with analytical methods such as funnel analysis, cohort analysis, or trend analysis.
- Solid foundation in statistics and data interpretation.
- Experience working on mobile app or web product analytics.
- Familiarity with modern data platforms or big data frameworks (e.g. Spark, Hive, Presto, or similar) is a plus.
- Mandarin proficiency is preferred.
- Experience a dynamic and team-orientated 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.
- Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance.
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