Data & Platform Analyst - Real Estate Portfolio

The Data & Platform Analyst enables data-driven decision making across Kyndryl’s global real estate and data center portfolio , supporting both operational execution and strategic initiatives.

This role sits at the intersection of data platform management, enterprise reporting, and data integration , ensuring that portfolio data is accurate, governed, and connected across systems .

The analyst will support the Data Hub and Portfolio Master Database as the single source of truth , integrating data from multiple platforms and delivering insights that drive portfolio optimization, financial performance, and informed business decisions .

Key Responsibilities

Data Platform & Data Quality

• Support the stability, integrity, and continuous enhancement of the RDC data platform and master datasets.
• Maintain the Portfolio Master Database as the authoritative source of portfolio data.
• Ensure data accuracy, completeness, and consistency across all reporting outputs.
• Partner with regional teams and data owners to validate and maintain high-quality data inputs .

Data Integration & Multi-Platform Connectivity

• Integrate and consolidate data across multiple source systems (e.g., lease administration, finance, FM tools, spreadsheets, and external data sources).
• Design and manage data transformations and mappings to ensure consistency across platforms.
• Support the development of data pipelines and automated data flows into the central platform.
• Identify and resolve data discrepancies across systems , ensuring alignment with the source of truth.
• Collaborate with technical teams to improve system connectivity and data interoperability .
• Design, develop, and maintain Power BI dashboards supporting portfolio management and operational performance.
• Build scalable data models and visualizations that support leadership reporting and decision making.
• Translate business requirements into automated, user-friendly reporting solutions .
• Improve the performance, usability, and reliability of reporting tools used by global teams.
• Support executive and operational reporting cycles by providing reliable, consistent data insights .
• Partner with regional teams to ensure portfolio data reflects current operations, investments, and site changes .
• Provide visibility into portfolio performance, risks, and trends to support informed decision making.

Data Governance & Process Improvement

• Contribute to defining data standards, definitions, and reporting frameworks .
• Strengthen data ownership, validation processes, and accountability across the organization.
• Identify opportunities to improve data collection, validation, and reporting workflows .
• Support cross-functional initiatives requiring accurate and structured portfolio data (e.g., finance, delivery, sustainability)

Required Skills & Experience

• 3–6 years of experience in data analytics, business intelligence, or data platform roles .
• Advanced proficiency in Power BI (data modeling, DAX, dashboard design).
• Strong experience working with large, complex datasets across multiple sources .
• Demonstrated ability to integrate and reconcile data across multiple systems and platforms .
• Working knowledge of data pipelines, and data transformation techniques .
• Proficiency in SQL, Excel, and data manipulation tools .
• Strong analytical and problem-solving skills with the ability to translate data into business insights .

Preferred Experience

• Experience working with multiple enterprise systems and integrating cross-functional data sources .
• Familiarity with data governance and data quality management practices .
• Experience working in global, multi-regional operational environments .
• Data Quality & Integrity: Strong focus on accuracy, consistency, and reliability
• Data Integration Mindset: Ability to connect and align data across multiple platforms
• Business Insight Orientation: Ability to turn data into actionable decisions
• Structured Problem Solving: Analytical, disciplined approach to continuous improvement

Closing

This role plays a key part in establishing a trusted, high-quality data foundation , connecting multiple data sources into a unified view that enables better portfolio decisions, stronger financial outcomes, and consistent execution across a global organization.