● Analyse existing business processes, reporting flows and information sources across all departments, and document the As-Is reporting landscape, including manual spreadsheets and shadow reporting.

● Facilitate requirement workshops with process owners and department heads, and translate business needs into functional BI requirements that can be built, tested and accepted.

● Identify and quantify reporting gaps, duplicated data and conflicting figures, and design the To-Be reporting model that eliminates them.

● Represent reporting and analytics requirements within the ERP implementation team so that BI needs shape ERP configuration, master data design and integration scope from the start.

● Participate across the full ERP lifecycle (discover, prepare, explore, realise, deploy, run) with defined BI deliverables and acceptance criteria at each stage gate.

● Create and maintain the Corporate KPI Dictionary, defining for every KPI the business definition, calculation formula, data source, owner, reporting frequency and permitted levels of aggregation.

● Enforce one agreed definition per KPI across all departments, and escalate unresolved definition or data ownership conflicts to programme governance for decision.

● Define the target BI architecture together with IT and ERP architects, covering source systems, the data layer or warehouse, the semantic model and the presentation layer.

Desired Candidate Profile

• Bachelor or Master degree in Information Systems, Computer Science, Engineering, Finance, Accounting, Business Analytics or a related discipline.

• Minimum 5 to 7 years of experience in business intelligence, analytics or data management, including delivery in a manufacturing or production environment.

• Proven contribution to at least one full-cycle ERP implementation, from requirements through to go-live, in a BI, reporting or data migration role.

• Strong SQL and hands-on expertise in at least one enterprise BI platform (Power BI, Tableau or equivalent), including data modelling, calculation languages and performance tuning.

• Practical experience with data warehouse or data lake design, ETL / ELT pipelines and system integration patterns.

• Sound understanding of manufacturing operations and product costing: bills of material, routings, work orders, yield and scrap, work in progress, standard versus actual costing and inventory valuation.

• Working knowledge of financial and management reporting: profit and loss, cash flow, budgeting and variance analysis, working capital and profitability analysis.

• Demonstrated experience defining KPI frameworks, master data rules and data-governance responsibilities across multiple departments.

• Experience in data migration, data cleansing and reconciliation between legacy systems and ERP.

• Professional working proficiency in English; additional languages are an advantage.

• Experience in the UAE or wider GCC region is an advantage, together with awareness of local data protection and statutory reporting requirements.