Senior Data Analyst (Procurement )

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.

• Conductspendcube 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 SQLPySpark 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 andOneLake. Understanding of the Fabric compute model and workspace administration.

• Databricks: Proficient in using Databricks for large-scale data transformation and analytics usingPySparkand 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 35 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 datavisualisationbestpractices 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 asSpendHQMarketDojoServiceEdgeVroozior 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 apromotefrom within culture;

• Anorganisationcommitted to DRIVE values (Driven Resilient Inclusive Visionary and Entrepreneurial)