Data Analyst (Procurement & REWS)

Why we're hiring:

We are seeking a highly analytical and business-oriented Data Analyst to join our Global Centre of Excellence (COE) in Mumbai. This role will play a critical part in enabling data-driven decision-making across Global Procurement and Real Estate & Workplace Solutions (REWS).

The analyst will act as a data partner for both functions - owning dashboards, analytics, reporting frameworks, and data quality - while supporting global transformation initiatives, cost optimisation, portfolio performance, and digital enablement.

This is a hands-on role requiring strong analytical capability, stakeholder engagement, and the ability to translate complex datasets into clear, actionable insights for senior leadership.

What you'll be doing:

• Support the execution of the global data and reporting strategy across Procurement and REWS.
• Ensure data accuracy, integrity, and consistency across multiple data sources (ERP, S2C tools, real estate systems, finance data).
• Define and maintain data validation processes for spend, contracts, savings, projects, portfolio, and transformation metrics.
• Drive improvements in data quality at source through stakeholder collaboration and process simplification.

• Develop and maintain procurement dashboards covering:
  • Spend analysis
  • Category and supplier performance
  • Savings and pipeline tracking
  • Contract and sourcing activity
• Perform deep-dive analysis to identify trends, anomalies, risks, and cost-reduction opportunities.
• Own and support procurement taxonomies, categorisation logic, and reporting standards.
• Partner with category teams and procurement leadership to answer strategic and operational business questions through data.

• Track and report on global REWS transformation initiatives, including:
  • Cost savings (leases, operational efficiencies, IFM)
  • Space optimisation and Space reduction
  • Portfolio size and footprint by agency and region
  • Project completion rates and transformation benefits
• Support portfolio and performance reporting for senior REWS leadership.
• Consolidate and analyse global end-user feedback related to workplace transformation.
• Respond to ad-hoc REWS reporting requests with speed and accuracy.

• Design, build, and maintain interactive dashboards using Power BI (and related tools).
• Translate complex datasets into clear, executive-ready visualisations and narratives.
• Ensure recurring reports and dashboards are reliable, scalable, and aligned to global KPIs.
• Continuously improve reporting automation and self-service capabilities.

• Work closely with global stakeholders across Procurement, REWS, Finance, IT, Data teams and relevant external suppliers
• Act as a trusted data partner for senior leaders, providing insights, context, and recommendations.
• Support COE capability building by documenting processes, sharing best practices, and enabling repeatable analytics.
• Liaise with internal and external technology partners (e.g., ERP, S2C, BI vendors) where required.

What you'll need:

• 3–5+ years of experience in data analytics, reporting, or business intelligence roles.
• Prior experience supporting Procurement, Supply Chain, Real Estate, Facilities, Finance, or Transformation functions is strongly preferred.
• Proven experience working with global stakeholders and large, complex datasets.
• Exposure to transformation programs, cost optimisation initiatives, or portfolio reporting is a plus.

• Strong experience with Power BI (dashboard design, data modelling, storytelling).
• Advanced proficiency in Microsoft Excel (complex formulas, pivot tables, data modelling).
• Understanding of:
  • Procurement data (spend, POs, invoices, contracts, savings)
  • Financial concepts (GLs, cost centres, budgets)
  • Real estate or portfolio metrics (SM², occupancy costs, leases – desirable)
• Familiarity with ERP systems, S2C / S2P tools, or real estate management systems is an advantage.
• Strong analytical thinking with attention to detail and data accuracy.

• Excellent communication skills with the ability to explain data to non-technical audiences.
• Strong stakeholder management and collaboration skills.
• Structured problem-solving mindset with business acumen.
• High ownership, curiosity, and continuous-improvement orientation.
• Comfortable operating in a fast-paced, global, matrix environment.

Who you are: