Planning and Delivery team is part of the Buyer Abuse Operations (BAO).BAO helps stop bad actors from hurting our customers. GPSS team enables this by ensuring we have the right staffing across site for BAO.
To deliver on this vision the Global Planning and Site Strategy (GPSS) team is looking for an experienced candidate who will be able to contribute for the long term headcount planning. The candidate will help define and deliver our long term planning output for staffing. We are looking for an analytically good candidate with experience in handling large data sets, capacity planning, financial planning and program management skillset. This position requires a solution-oriented candidate with the knowledge of business growth drivers, head count planning, workforce management, statistical best practices, and an analytical mindset. The candidate must have the ability to work with diverse stakeholder groups to solve business problems and provide data-oriented solutions that are organized yet simple to understand.
Data Management and modeling: The role will require to consolidate and review planning inputs and develop capacity plan. The incumbent supports creation of databases, creates reporting structures with analytic teams or develops them inhouse, and deep dives into cost and leadership reviews. The candidate is required to use mathematical and statistical models for developing scenarios, variances in plan and computation in the form of simple to complex excel based models.
Program Management: To execute the candidate interacts and drives discussions with multiple stakeholders across BAO – Forecasting, Product, Global Process Owners, Operations and Finance. The candidate will develop OPEX scenarios on planning that needs to be presented to Directors and Senior leadership to drive decision making via creation of business review or concept documents.
Key job responsibilities
• Independently define analytical approach and metrics to track head count variance
• Scale forecasting strategies and expand past immediate department
• Create simple statistical adhoc models to enable decision making on staffing
• Have a broad understanding of the data available in both traditional and non-traditional sources, allowing access to new levels of analysis
• Work with data owners, production systems, or other authoritative sources to guarantee data
fidelity (attrition, hiring, and headcount data)
• Solve the most complex and ambiguous analytic projects for BAP related to HC forecasting
• Comfortably and skillfully flex among various tools according to the problem and data
• Derive recommendations from analysis that have impact on multiple teams and provide significant business value
• Run basic regression methods (e.g., linear, logistic, basic time series) and identify opportunities to leverage more advanced modeling methods
• Own the effective communication of metrics and analysis
• Partner with forecasting and data science teams to influence the direction of data visualization platforms
• Influence other teams to ensure deadlines are met; hold stakeholders accountable
• Effectively manage and deliver assigned projects
- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling
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