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About the role The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.

Who we are? Change is the DNA of L'Oréal; we are constantly leading the beauty industry to go beyond. In 1909, we began as a small store selling hair dye. Today, we have a portfolio of 36 international brands and a global presence in 150 countries. At L'Oréal, there are 6 Zone Business Services Centers supporting the Group. Our L’Oréal Global Business Services, with mission of providing excellence Finance Services, improving operational performance

Produce marketing KPI dashboards and deliver daily-weekly-monthly cross-channel performance reports with actionable insights Come up with conversion optimization strategies with the aim of improving efficiency in digital marketing and increasing ROI Implement tracking into various marketing initiatives using Google Tag Manager or other tools Benchmark performance across all digital channels and advice on KPIs based on performance analysis Analyze end-to-end user behavior, conversion data, custom

Role & Responsibilities: Our primary Enterprise Resource Planning (ERP) system is CargoWise One (CW1). As the System Analyst for the Quotation Management System (QMS) module within CW1, your responsibilities include the following: Collaborate with the Project Manager to determine solution design, solution mapping, and project roadmap for the QMS module. Configure the package solution for the QMS module within CW1. Develop technical specifications, testing plans, and integration data flow. Overse

Position Description This position is within Product Data Management Department. The role is to capture and maintain project requirements in various product data management systems, include Oracle Agile, Salesforce and ServiceNow. The ideal candidate would be a detail-oriented self-starter, capable of working well both independently and in teams. The ideal candidate is expected to follow the pre-defined protocols and guidelines in managing the data, and to be comfortable in reporting and communi

Mingguan Menyiapkan data RKM dan aktual penjualan untuk NSM Ritase dari mobil cabang Outstanding PBJ Meyiapkan data untuk meeting GM Sales Bulanan : Forecast rencana mingguan dan aktual penjualan Aging Stock bekas pameran, in, stock tidak terpantau Tambahan bonus laporan display Outstanding SO yang sudah lebih dari 3 bulan Upload forecast to sales analytic Mutasi Stock Retur, Cancel & Service

的數據工程師 Solution Engineer，您將和55台灣及亞太區團隊協助客戶解決在網站和APP上導入數據收集代碼(data collection tags )的相關問題，包含網站分析、媒體追蹤、行銷技術導入、數據追蹤現況稽核以及回應客戶相關

- 分析誤攔或漏攔的電子郵件、URL 和附件。 - 針對電子郵件標題、結構和附件進行深入分析，以識別新的威脅特徵。 - 與團隊合作，提出檢測威脅的新方法。

Communicates with the managerial levels of Business entities and defines configuration specifications as well as business analysis requirements; Analyses and prioritizes set of KPIs and metrics, and builds data flow diagrams for developers to follow; Uses programming language (Python, SQL) to find hidden patterns and creates DAX queries to generate data and presents reports on Power BI; Perform quality assurance: Tests/ evaluate the quality of Tech applications, report on common issues and make

Tugas dan Tanggung Jawab : • Menganalisa semua data pengajuan pinjaman dana dari calon nasabah sesuai dengan standar operasional prosedur analis kredit yang berlaku • Melakukan ceking atas kelengkapan data, dokumen dan informasi lainnya dari calon nasabah yang diterima pada sistem perusahaan • Melakukan verifikasi dam validasi data, dokumen dan informasi lainnya melalui telepon kepada calon nasabah • Melakukan konfirmasi mengenai data calon nasabah melalui pihak ketiga • Mengirimkan pengingat un