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Mid-level, generic Data Analyst title plus metro location increases candidate competition despite specialized procurement focus.
Core analytics and engineering skills transfer across sectors, but procurement domain expertise increases domain sensitivity.
Explicit 3–5 year requirement plus mandatory Fabric, Databricks, SQL, Power BI and procurement domain knowledge raises strictness.
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Develop and maintain interactive Power BI dashboards and reports for spend analysis, supplier performance, contract lifecycle management, and procurement KPIs.
Build and manage scalable data pipelines and models using Microsoft Fabric and Databricks to unify procurement data from multiple sources.
Design and deploy automated workflows using Power Automate to streamline procurement processes and collaborate with stakeholders to deliver data-driven insights and strategic reporting.
3–5 years of experience in data analyst or business intelligence roles, ideally within procurement, real estate, or similarly complex commercial environments.
Advanced proficiency in Power BI including DAX, deployment pipelines, dataflows, and row-level security.
Hands-on experience with Microsoft Fabric components (Lakehouse, Data Factory, Dataflows Gen2) and Databricks using PySpark and SQL for data transformation.
Strong SQL skills and experience integrating data from ERP and procurement platforms; familiarity with procurement processes is required.
Experienced in handling large, complex datasets and building robust data models aligned to business needs within procurement or related commercial sectors.
Capable of translating business requirements into technical analytics solutions and presenting findings to senior leadership in a commercially relevant manner.
Skilled in implementing data governance, quality standards, and training for data literacy within procurement teams.