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.

Data Scientist (Senior Level)

Data Scientist | Machine Learning | Python | Senior Level