About The Position

This is a functional/business role focused on subscription/finance insights, KPIs, and executive storytelling. The ideal candidate for this position will bring their extensive expertise of Cloud SaaS Subscription data and, importantly, the underlying business transactional scenarios underpinning that data to shape details into complex and compelling stories. You'll piece together the puzzle through meticulous analysis towards discovery of new business insights that will help retain and grow our Cloud business. This position builds upon detailed knowledge of subscriptions transactional flows and how they result in the story of a customer, a product, a pillar over time -- ultimately shaping predictions and illuminating opportunities. You will navigate an immense amount of data, identify business event patterns, manage significant complexity and challenge your skills in representing complex things simply and intuitively. Key focus is on Real Time Business Metrics, with intersections to Adoption and other TINNO insights.

Requirements

  • 10+ years of experience in a similar role within Finance, Sales Operations, Deal Management, M&A or related field.
  • Experience managing Oracle application subscriptions data to render operational or financial insights.
  • Functional knowledge of detailed subscriptions transactional scenarios and back-end processes, balancing analysis with practical business outcomes.
  • Experience in deep analytics and sharing insights with Oracle stakeholders through presentations and other visual representations that answer business questions from leaders in product development, finance, sales and customer success.
  • Proficient knowledge/experience with Excel, Oracle Analytics Cloud Data Visualizer (OAC DV) and SQL Developer to explore data to uncover patterns and anomalies that can impact or shape data outcomes.

Responsibilities

  • Unpack the Fusion Apps subscriptions data to render operational insights that complement traditional Financial KPIs.
  • Relate subscriptions data to its origins in back-office and front-office processes, balancing analysis with practical business outcomes.
  • Dive deep into the data; being comfortable with detailed, multi-level analysis and exploration into uncharted territory is vital.
  • Generate and share powerful insights with impactful messaging through presentations and other visual representations that are easily understood by different audiences.
  • Be comfortable in the depths of analytics while shaping executive level insights that answer business questions from leaders in product development, finance, sales and customer success.
  • Embody the cultural principles of the org: Take ownership, Be responsive, Make data-driven decisions, Practice blameless problem solving, Value progress over perfection, Practice active listening, Challenge the status quo.

Benefits

  • flexible medical
  • life insurance
  • retirement options
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