Data Analyst - Recommendation

Job description

DepartmentBusiness Intelligence and Data Analytics
LevelExperienced (Individual Contributor)

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

Job Description:
  • Develop business domain expertise within Search & Recommendation
  • Collaborate closely with product managers, developers, and internal stakeholders to understand their requirements, and deliver actionable insights to shape product strategy
  • Work with large datasets to problem-solve, identify key business issues or opportunities, construct hypothesis, and investigate the “why” behind trends and observations
  • Collaborate with stakeholders to ensure best-practice A/B test experimentation implementation, and analyse results to provide insights
  • Drive visibility into product performance by defining and monitoring key business metrics
  • Design, build and maintain useful dashboards and reports to enable data-self serve for product managers
  • Communicate and present insights to key stakeholders and senior management
  • 1+ years of experience (Junior), 3+ years of experience (Senior) as a Data/Business/Product/Customer Analyst, Consultant, or other related fields
  • Good knowledge in analytical tools such as Excel, SQL
  • Highly responsible and independent, with strong sense of ownership
  • Highly analytical, curious and business-oriented
  • Demonstrate good data visualisation and experience using its tools (e.g. Tableau, Data Studio)
  • Demonstrates structural thinking, able to break down problems into actionable solution(s)
  • Keen learner, open to feedback and self-improvement
  • (Preferred) Programming knowledge such as Python and R
  • (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes
  • (Preferred) Experience with big data ecosystem (Hadoop, Spark, Hive)

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