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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Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=4973_9_26

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KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today’s most important industries. Our growth is driven by delivering real results for our clients. It’s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it’s no wonder we’re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you’re as passionate about your future as we are, join our team.