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Job Description

  • Work with multinational team, open to remote
  • Join one of the most successful ecommerce

About Our Client

One of the largest fashion ecommerce in South East Asia.


Job Description

  • Revamp Revenue and Marketing data capabilities and pipeline, prepare the right foundation to scale up into business and modelling implementations
  • Ability to transfer knowledge and hands on when required in data pre-processing while managing multinational team consisting of data engineers and BI analysts
  • Conduct detailed analysis and interpret data, producing business insights and data-driven recommendation within commercial practices
  • Work with attribution modelling, revenue pipeline, sales data, pricing and bring improvement to events journey and business market feasibility

The Successful Applicant

  • Work with multinational team
  • Join one of the most successful ecommerce
  • Flexible hours and competitive benefit

What's on Offer

  • 7 years of experience in data analysis, business intelligence, or other data processing role
  • Domain knowledge in data engineering, warehouse, pipeline, data structure and pre-processing
  • Advanced skills in SQL, Tableau, Redshift and GCP environment
  • Proven presentation and storytelling skills, able to translate data to business insights
  • Stakeholder management ability and fluency in English is a must
  • Detail-oriented, critical and data-driven, with good interpersonal skills
  • Logical thinking and strong problem solving skills
Contact Josephine Wiliputri Quote job ref 4214973 Phone number +62 21 2958 8871


Job summary

Function Information Technology Sub Sector IT Data Analysis What is your area of specialisation? Retail Location South Jakarta Contract Type Permanent Consultant name Josephine Wiliputri Consultant contact +62 21 2958 8871 Job Reference 4214973

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Job Detail

  • Job Id
    b6323aa4b935ae23
  • Location
    id
  • Company
  • Type
    Private
  • Employment Status
    Permanent
  • Positions
    Available
  • Career Level
    Experience
  • Gender
    Male/Female

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