Data Transformation Specialist

1 day ago

Marikina City, National Capital Region, Philippines beBeeProcess Full time ₱3,400,000 - ₱4,300,000
Process Analytics Expert

We are seeking an experienced Process Analytics Expert to join our team. This key member will support process mining and operational analytics initiatives, focusing on preparing and transforming operational data for use in process analytics, developing process mining models, and delivering actionable insights through dashboards and automation.

About the Role
  • Assist with the evaluation of process mining platforms (e.g., Celonis, ARIS).
  • Design and implement process mining models using Celonis or similar tools.
  • Collaborate with business and IT teams to understand operational workflows and data sources and translate them into event logs.
  • Build and maintain data pipelines to extract, transform, and load (ETL) data from enterprise systems (e.g., SAP, Oracle, Salesforce).
  • Develop Power BI dashboards to visualize process performance, KPIs, and automation opportunities.
  • Leverage Power Automate and Power Apps to streamline workflows and integrate analytics into business processes.
Qualifications and Skills
  • 5–7 years of experience in process mining using Celonis or similar platforms.
  • Strong background in data engineering, including SQL, ETL, and data modeling.
  • Experience preparing event logs and operational datasets for analytics.
  • Proficiency in Power BI for dashboard development and data visualization.
  • Familiarity with the Microsoft Power Platform (Power Automate, Power Apps).
  • Ability to work independently in a remote/offshore environment and collaborate across global teams.
  • Strong communication skills and ability to translate business needs into technical solutions.
  • Ability to ensure data quality, governance, and documentation across analytics initiatives.
Benefits
  • Mid-senior level position with full-time employment.
  • Opportunity to work on challenging projects in process mining and operational analytics.
  • Collaborative team environment with a focus on innovation and knowledge sharing.
  • Professional growth and development opportunities.
Others
  • BS in Computer Science, Information Technology degree, Data Analytics or equivalent.
  • Seniority level: Mid-Senior level.
  • Employment type: Full-time.
  • Job function: Information Technology.
  • Industries: Outsourcing and Offshoring Consulting.

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