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.
KPMG is currently seeking an Associate Director, Compensation Analytics to join our Human Resources organization.
Responsibilities:
- Uncover and communicate in simple terms the story found within a variety of complex total rewards-related datasets including total rewards costs, compensation benchmarking, pay analysis, job architecture, compensation budgeting, sentiment, performance development, career levelling, benefits, pension, textual market intelligence and executive compensation data.
- Produce data visualizations, financial models, projections, analyses and reports from interconnected data.
- Direct, manage, and implement technology platforms (Power BI and Data Lake) used for data management, data source integration, forecasting, reporting and analysis.
- Adapt to, test, and manage implementation of new technologies including aspects of SuccessFactors and Salary.com.
- Manage visible and high impact projects in the compensation space, working directly with compensation team leadership.
- Forge and maintain relationships with compensation managers, subject matter professionals, vendor representatives, data providers (for example, finance and HRIS) and Human Resource generalists.
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment.
Qualifications:
- Minimum seven years of recent experience in complex analytics, preferably in a professional services environment.
- Bachelor's degree from an accredited university/college.
- Advanced MS Excel and Access skills required.
- Demonstrated aptitude for working with advanced analytic platforms such as Alteryx, Power BI, Tableau, Python, R, SPSS.
- Strong quantitative and advanced analytic skills with an ability to explain complex results understandably using visual and relationship-building skills; capability to handle multiple priorities and produce work at volume; be a team player with a positive attitude and strong capacity to work with limited supervision.
- Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.