Manager, Talent & Culture Data Analytics

• Extract, transform, and load complex workforce and HR datasets from various backend systems into analytics-ready formats; Utilize advanced SQL and Databricks to clean, harmonize, and structure large volumes of structured and unstructured data
• Conduct comprehensive map and gap analyses between legacy reporting systems, disparate data sources, and future-state data architectures; Identify data deficiencies and propose scalable solutions to ensure comprehensive data coverage for Talent and Culture reporting needs
• Act as the primary escalation point for complex data discrepancies between Power BI dashboards and backend databases such as Oracle, ADL); methodically trace data flows to identify the exact root cause of mismatches, implement fixes, and optimize data connectivity to prevent future issues
• Design, develop, and deploy intuitive, high-performance Power BI dashboards tailored to executive and operational stakeholder needs; implement advanced data visualizations, row-level security, and conditional formatting to ensure insights are accessible and secure
• Partner with HR leaders, technical teams, and business functions to define requirements, present findings, and drive data-informed decision-making; Manage project timelines, communicate technical concepts to non-technical audiences, and provide ongoing support and training for reporting tools
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

• Minimum five years of recent experience in data analytics, business intelligence, or data engineering roles, with a demonstrated progression of responsibilities
• Bachelor's degree from an accredited college or university is required
• Experience working with HR, Talent, or Workforce Analytics data is highly preferred. Understanding of data governance, security, and PII compliance protocols
• Expert-level ability to write complex queries, optimize performance, and manipulate large datasets (advanced SQL); deep expertise in data modeling, DAX, Power Query, and dashboard optimization (PowerBI); Strong understanding of Databricks environments, notebooks, and distributed data processing
• Proven track record in data wrangling, root cause analysis, and translating business needs into technical data requirements
• Excellent verbal and written communication skills with the ability to interface effectively with both technical engineers and senior business leaders
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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