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”