Demand Management Analyst

As a Demand Management Analyst at Wise, you will play a critical role in creating a new network for the world's money. You will be responsible for transforming fragmented demand signals into structured, forecast-ready inputs to support headcount planning and SLA performance.

Responsibilities:

• Enforce the "No DM Sign-off, No Launch" governance policy to ensure operational readiness
• Lead the structured intake of demand drivers into a centralized Source of Truth (SOT)
• Develop and implement a Tier Framework to classify drivers based on volume impact and required lead times
• Act as the primary point of contact for senior leaders to negotiate launch timelines and challenge high-level assumptions with data
• Analyze and navigate historical data to validate and challenge forecasting assumptions
• Translate validated demand forecasts into specific headcount, FTE, and skill-based capacity requirements
• Perform high-rigor "What-If" scenario modeling to evaluate the SLA and cost impact of launch delays or volume spikes
• Execute advanced data extraction using SQL to perform cohort analysis and validate volume estimates
• Collaborate with capacity planning to ensure all constraints and sensitivities are understood
• Leverage generative AI and large language models to accelerate data extraction workflows and automate documentation
• Lead post-launch monitoring to track actual volume vs. expected impact
• Conduct structured Root Cause Analysis (RCA) on variance between forecasts and actuals
• Develop custom LookML models and automated dashboards to monitor demand driver workload in real-time
• Provide day-to-day coaching and mentorship to junior servicing scale team members

Requirements:

• 3-5 years of hands-on experience in Workforce Management, Demand Planning or Capacity Planning in high-volume environments
• Advanced proficiency in Excel/Google Sheets and SQL
• Professional fluency in English; additional operational languages are a plus
• Ability to implement advanced statistical methods for time-series forecasting
• Expertise in understanding and transforming demand signals into forecast-ready inputs for headcount plans
• Ability to translate complex technical analysis into 3-slide narratives that influence non-technical Product leads