Senior Data Analyst

We are seeking a Senior Data Analyst / Process Mining Specialist on a contract basis to lead and support our PR-to-PO Conversion workstream and Celonis platform management for enterprise process mining. This role demands deep expertise in data analysis, Celonis administration, and a strong understanding of AI concepts, including agentic workflows and AI agent evaluation. The ideal candidate is a seasoned professional who can independently drive workstream targets, manage the Celonis environment end-to-end, and partner with cross-functional teams to deliver measurable process improvement outcomes.

The candidate will have responsibilities across the following functions:

PR-to-PO Conversion Workstream:

• Own and drive PR-to-PO conversion analytics, identify bottlenecks, cycle time delays, maverick buying patterns, and conversion drop-off points using Celonis process mining.
• Define and track workstream KPIs and targets (e. g., conversion rate %, cycle time reduction, compliance adherence) aligned with QBR and leadership goals.
• Build and maintain Celonis analyses, dashboards, and Process Adherence Managers (PAMs) specific to the PR-to-PO sub-process.
• Translate process mining insights into actionable recommendations for procurement stakeholders to improve conversion rates and policy compliance.

Celonis Tool Management and Platform Administration:

• Serve as the Celonis environment owner, managing data models (Case Centric & OCPM), user access, performance optimisation, and release management.
• Source and integrate data from SAP, Ariba, Snowflake, and SQL Server into Celonis; collaborate with IT/data engineering to maintain robust ETL pipelines and data quality.
• Create and modify activities, views, analyses, and PQL-based KPIs within data models.
• Design and implement Action Flows and integrate Celonis with SharePoint, Outlook, Microsoft Copilot, and Microsoft Teams for workflow automation.
• Support new application implementations, platform upgrades, and ensure Celonis' readiness for evolving business requirements.

AI & Agentic Flows:

• Evaluate and define the scope of work for AI agents and agentic flows within the PR-to-PO workstream, assess feasibility, business value, and integration points.
• Partner with data science and engineering teams to test, validate, and operationalise AI-driven automation (e. g., intelligent routing, auto-approval recommendations, anomaly detection).
• Provide subject matter expertise on AI readiness, assess data quality, process maturity, and automation potential to support AI agent deployment.
• Stay current on emerging AI/ML concepts (LLMs, agentic architectures, copilot integrations) and advise on practical applications within procurement process mining.

Stakeholder Engagement and Reporting:

• Partner with procurement, finance, and IT stakeholders to align process mining outputs with business objectives and transformation goals.
• Support enhancements based on QBRs, KPI reviews, and SteerCo feedback.
• Deliver executive-ready insights and recommendations to senior leadership.

Requirements:

• 10+ years of experience in data analytics, data engineering, or business intelligence, preferably in procurement/supply chain domains.
• Deep hands-on expertise with Celonis, including data modelling (Case Centric & OCPM), PQL, Action Flows, PAMs, and platform administration.
• Strong SQL proficiency and working experience with SAP, Ariba, Snowflake, and SQL Server.
• Proven experience with ETL processes, data quality management, and data governance best practices.
• Demonstrated understanding of AI/ML concepts, specifically the ability to evaluate AI agent architectures, agentic workflow design, and scope AI-driven automation for business processes.
• Experience integrating with the Microsoft 365 ecosystem (Outlook, SharePoint, Copilot, Teams).
• Strong stakeholder management, communication, and problem-solving skills with the ability to influence senior leaders.

Good to Have:

• Experience with PR-to-PO or S2P/P2P process mining use cases.
• Familiarity with Cortex AI, LLM-based agents, or copilot-style integrations in enterprise settings.
• Background in process improvement methodologies preferred
• Experience working in global, cross-functional team environments.