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'
