X
Xiaomi Technology
Data Scientist (Senior Level)
Skills
SQL QueriesPythonData ScienceData AnalysisPower BI
1 month ago
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Important information
Contract type:
Permanent
Location:
Singapore
Work mode:
Onsite
Published on:
9 September 2026
What they need
Responsibilities:
- Build multi-dimensional business metrics (user, traffic, conversion, revenue), define North Star metrics, and deliver dashboards/reports covering 90% of daily data needs.
- Monitor core data daily, conduct anomaly analysis, and establish intelligent monitoring frameworks to quickly identify and resolve issues.
- Support strategy design for user acquisition and engagement by quantifying user behaviors and identifying key growth opportunities.
- Optimize app features and traffic funnels through A/B testing and experimentation frameworks to enhance overall user lifetime value (LTV).
- Lead the design and standardization of the business metrics system, ensuring consistency and alignment of KPIs across product lines and markets.
- Translate complex business problems into structured analytical frameworks; independently drive end-to-end analysis projects from problem definition to actionable recommendations.
- Partner with product and operations teams to evaluate the impact of new features, campaigns, and market strategies through rigorous quantitative analysis.
- Develop and maintain self-serve analytics tools and data products that empower business teams to access insights independently.
- Mentor junior data scientists and analysts, conduct code/analysis reviews, and promote best practices in data analysis methodology across the team.
- Proactively identify data gaps and opportunities, drive improvements in data collection, instrumentation, and overall data infrastructure quality.
Requirements:
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 5+ years of experience, as a Senior Data Analyst or similar capacity.
- Proficiency in data analysis tools and databases such as SQL, Python, Power BI ,Quick BI, etc.
- Strong knowledge of data gathering, cleaning, and transforming techniques.
- Ability to analyze large datasets and write comprehensive reports.
- Strong problem-solving skills, attention to detail, and analytical mindset.
- Excellent communication skills with the ability to explain complex concepts in a simplified manner to non-technical stakeholders.
- Strong communication skills, with the ability to engage key stakeholders across different markets.
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