Data-Driven Business Transformation Expert

23 hours ago

Cabuyao, Calabarzon, Philippines beBeeProcess Full time ₱2,500 - ₱3,500
Job Opportunity

We are seeking an experienced Process Analytics Engineer to join our team. This role focuses on preparing and transforming operational data for use in process analytics, developing process mining models, and delivering actionable insights through dashboards and automation.

Key Responsibilities:
  • 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.
  • Conduct root cause analysis and identify process inefficiencies, compliance gaps, and automation opportunities.
Requirements:
  • 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.
Education
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, or equivalent field.
Working Conditions
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industry: Outsourcing and Offshoring Consulting

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