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E-Commerce Data Analyst

FACETOLOGYJakarta SelatanDiposting 7 September 2026
Mid Level
Full Time
On-site
Cosmetics

Role overview

Deskripsi pekerjaan

BeOneofOurFaces! Joining FACETOLOGY means becoming part of a dynamic beauty brand. We are a human-centric environment, driven by the purpose of enhancing quality of life through our products.

As an E-Commerce Data Analyst, you will build and maintain E-Commerce dashboards covering GMV, Ads, Voucher, Promotion, JBP & Campaign performance. Automate multi-platform E-Commerce data extraction for accurate daily & real-time updates. Develop real-time monitoring for Pricing & Promotion Compliance and suspicious/Bulk Order transactions.

Validate & reconcile E-Commerce platform program benefits with internal data and support discrepancy/appeal processes. Ensure E-Commerce data accuracy & integrity and provide actionable data to support business decisions.

Tanggung jawab

Responsibilities

  • Build and maintain E-Commerce dashboards covering GMV, Ads, Voucher, Promotion, JBP & Campaign performance.
  • Automate multi-platform E-Commerce data extraction for accurate daily & real-time updates.
  • Develop real-time monitoring for Pricing & Promotion Compliance and suspicious/Bulk Order transactions.
  • Validate & reconcile E-Commerce platform program benefits with internal data and support discrepancy/appeal processes.
  • Ensure E-Commerce data accuracy & integrity and provide actionable data to support business decisions.

Yang perlu disiapkan

Job requirements

  • Bachelor’s/Master’s in IT, Information Systems, Computer Science, Statistics, Mathematics, or related fields.
  • 3–5 years of relevant experience.
  • Proficient in SQL and BI tools (Power BI, Tableau, or Looker Studio).
  • Strong understanding of E-Commerce metrics (GMV, AOV, ROAS, CIR, JBP) and Ads Credit/Waiver refund mechanisms.

Kualifikasi kandidat

Skill dan kualifikasi

  • Python/R & API extraction experience is a plus.

Benefit

Fasilitas dan benefit

  • Competitive Salary
  • Medical Insurance
  • THR / Bonus system
  • Transportation
  • Team Building Activity
  • Casual Dress Code

Tools

Tech stack dan tools

SQL
Power BI
Tableau
Looker Studio
Python
R

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FACETOLOGY

Jakarta Selatan

Diposting7 Sep
TipeFull Time
LevelMid Level
ModeOn-site
GajiTidak dicantumkan
DeadlineTidak dicantumkan

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