Responsibilities:

• Manage an effective team of analysts who create powerful data graphics for Operational Review KPIs presentations.
• Create PowerBi dashboards with the analytic team to view descriptive KPIs and predictive models as needed as a player-coach.
• Be the Product Analytics point of contact for all forecasting and modelling requirements for client engagement, profitability, and client retention.
• Identify behaviour drivers in client journeys- determine which events are most important to watch in order to reduce the risk of a poor customer experience and maximise client value
• Create and continuously enhance product expense and revenue forecasting models in collaboration with Product Managers and Finance partners for GPM products.
• As appropriate, support 3-year revenue and expense projection predictions in collaboration with Finance.
• Support Product Mix 3-year predictions for GPM Product Managers in conjunction with Finance partners.
• During team meetings, often suggest ideas for improving insight.

Requirement:

• Applicants must have a bachelor's degree. A master's degree and/or a doctorate degree are strongly encouraged. Degrees in statistics, data science, operations research, or finance are desired.
• 10+ years of progressive analytics expertise, especially in a strategy, business intelligence, or consulting capacity.
• Experience in a SaaS software environment, product management, or IT is preferred.
• Experience with modelling and forecasting is required.
• Familiarity with relational databases and SQL, as well as programming languages, statistical packages, and business intelligence tools, is required.
• Results-oriented, with an exceptional ability to transform questions into insights and anticipate what questions will likely come next to drive insight improvement.

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