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HR Business Data analyst @ AIB NV

BE100, BEOnsiteContract
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About this role

Team/division description: You will be working for the Human Resources division, called People & Innovation. You will be part of the Data Analytics and HR Solutions team (part of Business Innovation within P&I). Our main purpose is to ensure HR data is accurate, governed, business-relevant, and transformed into trusted analytics and reporting solutions by acting as the primary bridge between HR business stakeholders, IT data teams, and reporting developers. At P&I we strive to deliver effective solutions towards business leaders and our Pan-E regional HR counterparts. Listening to the customer is essential to developing adequate and efficient solutions. Your responsibilities Your role is to support building foundation and contribute to strong employee experiences. HR Data Governance & Data Quality Business Analysis within HR Data Domain Bridge between HR and ITD Data Product Delivery Team Overview Snowflake operations (catalogue, ingest, semantic modelling design) Managing Power BI Reporting Portfolio (prioritisation and budget control) Stakeholder Management (withing HR areas and business) Monitoring testing and release management Ensure compliance, privacy & security rules are followed Your profile: English (Professional/Business Fluency), other languages are also an asset. Experience with Snowflake, Collibra and Data Product creation is essential for this role Knowledge of SQL, Qlick, Power BI is an asset Stakeholder Management Able to work with HR executives, HR operations teams, Data engineers, Solution architects, BI developers, Vendors Strong ability to simplify complex concepts, create executive summaries, present risks and recommendations. Our ideal candidate can facilitate workshops, and liaise with multinational teams The ideal candidate has a natural interest in the customer voice. They have proven similar past experiences, in the field of data governance, analytics, AI solutions design. Must be able to challenge assumptions, connect data across systems, identify root causes, spot inconsistencies.

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