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Associate - Corporate Location Strategy Analytics

Req #: 170100960
Location: New York, NY, US
Job Category: Corporate Staff
Potential Referral Amount: 0 US Dollar (USD)
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/.
 
JPMC is seeking an Analytics Associate for the Corporate Location Strategy (CLS) team. The position will play a key role in supporting the CLS program – a top strategic priority for the firm - across multiple lines of businesses in locations globally. The CLS team is part of our Global Real Estate (GRE) and the CAO Strategic Initiative (CSI) functions.
 
Corporate Location Strategy focuses on optimizing our global work-force locations, including consolidating into world-class corporate centers of excellence that enhance our client support, employee satisfaction, productivity and controls, while optimizing operating costs.
 
Global Real Estate manages the firm's real estate assets and investments and partners with the lines of business to proactively address their real estate needs. 
 
The CLS team, specifically, has the following key responsibilities:
  • Location Strategy & Advisory - advocating, leading, developing, and reporting the execution of the firm-wide location strategy program – across all lines of business and functions in 300+ global locations; Advising workplace best practices to maximize productivity 
  • Analytics – Deliver key reporting and analytics to drive CLS initiatives, provide analytics and insights to key stakeholders, and enhance the central analysis and reporting of location and occupancy data
  • Infrastructure – The team manages the front-back technology and process required for Occupancy planning, including Serraview, GRE Database Library (GREDL), CAD, as well as the seat supply and demand forecasting processes.
  • Process Improvement – Deliver targeted process improvement support, project management, and internal consulting capabilities across CLS
This role within the Analytics domain will partner closely with the Location Strategy & Advisory team and focus on developing innovative real estate and workforce analytics to help make informed decisions and drive the firm’s location strategy. Typical projects requiring analytics and reporting (not exhaustive) include:
 
  • Building utilization metrics to assess utilization and efficiency across key locations
  • Scenario analyses to optimize real estate portfolio and business footprint
  • Workforce analytics integrating key location, employee, function and economic data
  • Vacancy reduction initiatives to drive occupancy optimization
  • Trending models based on mobility data and labor market statistics to help support strategy decisions

Responsibilities
 
Core Analytics Design and Development
  • Design and structure quantitative and qualitative analyses
  • Assess current reporting processes and propose enhancements
  • Synthesize impactful findings, develop recommendations and deliver documents with minor guidance / editing; present recommendations to management
Cross-functional Collaboration
  • Partner with cross functional CLS teams and GRE teams
  • Support the implementation of key business decisions and change efforts
  • Deliver presentations with ability to recognize and incorporate feedback
Team Leadership
  • Support multiple projects and reporting needs by working with team across the globe
  • Creates work plans and manages expectations and quality standards for required deliverables
  • 2-4 years of extensive experience in data analytics and / or financial or statistical modeling
  • Strong academic background from a top-tiered program
  • Ability to structure problems and apply analytical tools to develop solutions
  • Keen attention to details and demonstrated ability to quality check work
  • Superior analytical ability with experience in collecting, analyzing, and synthesizing large datasets
  • Ability to multitask and handle high stress while maintaining accuracy in tight deadlines
  • Proficient in Excel (e.g., array formulas, pivot tables, index/match, familiar with VBA)
  • Familiar with SQL, Alteryx, SAS, Stata, or another programming language and willing to learn new programs and techniques
  • Experience building and developing Tableau dashboards preferred
  • Strong team player and interpersonal skills
 
For prompt consideration please ensure you update the ‘current employer’ section of your profile (in addition to attaching a resume).
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