Note: The job is a remote job and is open to candidates in USA. Kforce Inc is seeking a skilled Procurement Data Analyst to join their team in Chicago, IL within a leading commercial real estate organization. This pivotal role focuses on data analytics and business intelligence to enhance sourcing decisions and supplier performance management.

Responsibilities

• Kforce has a client in Chicago, IL that is seeking a Procurement Data Analyst
• We are seeking a highly skilled and commercially focused Data Analyst to join our Procurement function within a leading commercial real estate organization
• This is a pivotal role that sits at the intersection of data analytics, procurement analytics, and business intelligence, enabling smarter sourcing decisions, supplier performance management, and cost optimisation across our property portfolio

Skills

• 3-5 years of experience in a data analyst or business intelligence role, ideally within procurement, real estate, or a similarly complex commercial environment
• 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)
• Demonstrated experience working with large, complex datasets and building robust data models (star schema, snowflake schema)
• Experience with Azure cloud services including Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure DevOps
• Familiarity with data visualisation best practices and UX principles for dashboard design
• 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

Benefits

• Medical/dental/vision insurance
• HSA
• FSA
• 401(k)
• Life, disability & ADD insurance to eligible employees
• Salaried personnel receive paid time off
• Hourly employees are not eligible for paid time off unless required by law
• Hourly employees on a Service Contract Act project are eligible for paid sick leave

Company Overview

Company H1B Sponsorship