Job title: Data Scientist
Job type: Permanent
Emp type: Full-time
Industry: Shared Services / Global Business Services (GBS)
Expertise: Information Technology & Telecommunications
Location: Pasay City
Job published: 2022-04-13
Job ID: 34840

Job Description

KEY RESPONSIBILITIES:
You will:

  • Create and maintain data models/structures that would be the basis for analysis and work closely with stakeholders to generate analytics reports
  • Contribute to defining Process mining solution architecture options during the design phases of a project. This includes the approach for modeling the process mining application and technology architecture, including relevant data governance
  • Build, test, and validate data models to merge, supervise, and extract data to supply tailored reports to colleagues, customers, or the wider organization
  • Work closely with your business to identify issues and use data to propose solutions for effective administrating
  • Design and implement Execution Management System (EMS) Views, Knowledge models, and process automation technology to speed up customer's process to bring value and to improve conformance rate
  • Training end-users in using process mining software
  • Collaborate with IT system experts to ensure the IT systems are set up correctly to gather all relevant information and support the most effective data structures

QUALIFICATIONS & REQUIREMENTS:

  • 2+ years experience in IT consulting, Process improvement, Computer Science, BS Math, IT, Engineering, or similar
  • Advanced knowledge of a database query language (SQL, or similar)
  • Experience with Scripting (Python, JavaScript, Perl, XML, or similar)
  • Knowledge of data structures of ERP systems (SAP, Oracle)
  • Experience with Celonis or other process mining tools
  • A general understanding of finance business processes (Order-to-cash, Purchase-to-Pay) and related metrics
  • Have experience with data pipelines and ETL processes, data warehouses/lake, data modeling, schema design, ideally with larger volumes of data
  • Experience in reporting, analytics, and insights generation using SAP, Azure, and similar tools
  • Knowledge of REST/SOAP API management, data ingestion, and streaming, SSO, LDAP, IT security
  • Fluent in and comfortable working and presenting in English

Work Schedule: Mid Shift
Work Setup: WFH / Hybrid

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