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Job Summary


Job Type
Permanent

Seniority
Manager

Years of Experience
At least 5 years

Tech Stacks
ETL
Strategy
Analytics
R
RedShift
SQL
Python
AWS

Job Description


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The purpose of this role is to lead a lean & agile team to support the end-to-end data analytics & reporting solutions for the Meiyume Retail Solutions, Packaging & Turnkey, and Brands business verticals. This manager role will manage a data engineer and data analyst to help supervise the data we are collecting and create reporting & predictive analytics tools to provide valuable insights to our internal operations and external customers. The manager will also be responsible for educating our internal stakeholders on how to leverage the data we have, build their own reports, and unlock insights for their own domains. The role will report to the Senior Director of Retail Solutions & Data Analytics and work closely on defining the analytics capabilities and strategy.


Responsibilities:
  • Manage the Redshift data warehouse and ETL/data engineering projects, including data integrity
  • Continuation of legacy report migrations to new Power BI data visualization tool
  • Beauty trend engine product owner and Meiyume user adoption
  • Provide leadership to the data analytics team on all projects, including ad-hoc customer engagements, predictive & prescriptive projects, and data science projects with local universities
  • Partner with Senior Director of Retail Solutions & Data Analytics to continually refine data strategy and roadmap

Requirements:
  • Degree in data analytics, business intelligence, computer science, or another quantitative field
  • Minimum of 5 years’ experience in business intelligence
  • Experience managing data analysts and working with different data stakeholders
  • Understanding of agile project management methodology
  • Proficient in data visualization tools (Power BI preferred)
  • Understanding of AWS (for data warehouse management)
  • Experience in querying databases using R, Python or SQL
  • Experience in AI, machine learning, data science, etc. a plus
  • Excellent verbal and written communications skills with fluency in written and spoken English
  • Conversational in Mandarin a plus

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