Process & Data Analyst
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We are building an independent ATM‑network offering qualitative cash services to all individuals and merchants in Belgium. Our mission is to ensure access to cash in the long term, in a "less cash" society. To support our expanding business, we are looking for a Process & Data Analyst to join our team.
Your role
As an experienced, detail-oriented process analyst with strong analytical skills and curiosity you will support the continuous improvement of our operational processes through data-driven insights. You will play a key role in analysing business processes, identifying inefficiencies, transforming data into actionable intelligence, and supporting strategic initiatives across the organization.
What will you do
Process documentation
- Work closely with business owners and subject matter experts to capture, structure and validate existing processes, procedures and related data flows.
- Map end-to-end operational processes using standardized formats, tools and data-driven process indicators.
- Analyse process data to identify gaps, overlaps, bottlenecks and critical dependencies between teams.
- Translate data insights into opportunities for optimization, efficiency gains, risk reduction and improved service performance.
Process structure & methodology
- Develop and maintain a company-wide process management framework, including standards, templates, versioning rules and data quality requirements.
- Define governance principles ensuring each process has a clear owner and measurable performance indicators.
- Introduce methods and tools for process lifecycle management, supported by reporting, dashboards and continuous improvement metrics.
Support & coaching
- Train and coach process owners and experts to document, measure and maintain their processes based on reliable data.
- Review process updates for structure, consistency, data quality and alignment with best practices.
- Act as the central coordination point for process-related inquiries, data requests and improvement initiatives.
Continuous improvement
- Support root cause analyses and optimization initiatives using process data, trend analysis and performance insights.
- Define, monitor and report on key performance indicators (KPIs) to track process adherence, efficiency, quality and risk exposure.
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