Senior Data Analyst

**Job Title** Senior Data Analyst (Procurement ) **Job Description Summary** **Job Description** **Position: Senior Data Analyst** (Procurement ) **Procurement Analytics & Reporting**  * Design, develop, and maintain interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs.  * Deliver data-driven insights across categories including facilities management, construction, fit-out, property services, and professional services.  * Conduct spend cube analysis and category benchmarking to identify savings opportunities and procurement efficiencies.  * Monitor and report on procurement compliance, procurement metrics and maverick spend.  * Build and manage scalable data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2) and Databricks to ingest, transform, and model procurement data from multiple source systems.  * Develop and maintain Delta Lake tables and Lakehouse architectures within Microsoft Fabric to support a single source of truth for procurement data.  * Write efficient SQL, PySpark, and Python scripts to perform data wrangling, cleansing, and transformation at scale.  * Integrate data from ERP systems, contract management platforms, and supplier portals into unified data models.  **Process Automation**  * Design and deploy automated workflows using Power Automate to streamline procurement processes.  * Identify manual, repetitive data tasks and implement automation solutions to improve team productivity and reduce errors.  * Collaborate with the TDS teams to embed automation best practices across the procurement function.  **Stakeholder Engagement & Collaboration**  * Partner with Procurement Managers, Category Leads, and Finance to translate business requirements into analytical solutions.  * Present findings and recommendations to senior stakeholders in a clear, concise, and commercially relevant manner.  * Support the CPO and leadership team with ad hoc data requests, market intelligence, and strategic reporting.  * Act as a champion of data literacy within the procurement team, providing training and guidance on self-service analytics tools.  **Data Governance & Quality**  * Implement and uphold data quality standards, validation rules, and governance frameworks across all procurement datasets.  * Document data dictionaries, pipeline logic, and report specifications to ensure reproducibility and knowledge transfer.  **SKILLS & EXPERIENCE – ESSENTIAL**  **Core Technical Skills**  * Power BI: Advanced proficiency in building enterprise-grade dashboards and reports, including DAX measures, calculated columns, row-level security (RLS), and paginated reports. Experience with Power BI Service, deployment pipelines, and dataflows.  * Microsoft Fabric: Hands-on experience with Microsoft Fabric components including Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Notebooks, and OneLake. Understanding of the Fabric compute model and workspace administration.  * Databricks: Proficient in using Databricks for large-scale data transformation and analytics using PySpark and SQL. Experience with Delta Lake, Unity Catalog, and cluster configuration.  * Power Automate: Ability to design and build automated business workflows using Power Automate (cloud flows), including integration with Microsoft 365, SharePoint, Teams, and third-party connectors.  * SQL: Strong command of SQL for data extraction, transformation, and analysis across relational databases (SQL Server, Azure SQL, Synapse).  **Data & Analytics**  * Minimum 3–5 years of experience in a data analyst or business intelligence role, ideally within procurement, real estate, or a similarly complex commercial environment.  * Demonstrated experience working with large, complex datasets and building robust data models (star schema, snowflake schema).  * Familiarity with data visualisation best practices and UX principles for dashboard design.  **Procurement & Domain Knowledge**  * Understanding of procurement processes including strategic sourcing, supplier management, contract management, and P2P cycles.  * Commercial real estate sector knowledge is advantageous, including awareness of property management, construction, FM, and asset lifecycle data.  **SKILLS & EXPERIENCE – DESIRABLE**  * Experience with procurement systems such as SpendHQ, MarketDojo, ServiceEdge, Vroozi or similar platforms.  * Experience with Git/Azure DevOps for version control and CI/CD pipelines for analytics assets.  * Exposure to Copilot for Microsoft 365 or AI-assisted analytics tooling.  * Microsoft certifications such as PL-300 (Power BI), DP-600 (Fabric Analytics Engineer), or AZ-900/DP-203 are highly regarded.  **PERSONAL ATTRIBUTES**  * Commercially astute with a strong ability to connect data insights to business outcomes and value delivery.  * Proactive, self-motivated, and comfortable working autonomously in a fast-paced, matrixed environment.  * Excellent communication and stakeholder management skills, with the ability to translate complex analytical concepts for non-technical audiences.  * Detail-oriented with a commitment to data accuracy, documentation, and governance.  * Collaborative team player who actively shares knowledge and contributes to a culture of continuous improvement.  * Curious mindset with a drive to stay current with emerging data technologies and industry trends.  **Why join Cushman & Wakefield?**  As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;  * Being part of a growing global company;  * Career development and a promote from within culture;  * An organisation committed to DRIVE values (Driven, Resilient, Inclusive, Visionary, and Entrepreneurial)  INCO: “Cushman & Wakefield”