Own performance management processes, including variance analysis, identification of key drivers, and clear articulation of risks and opportunities, with actionable recommendations to optimize business performance and cost efficiency.
Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
Lead and participate in deep code reviews to enforce coding standards, improve performance, and mentor the team in best practices, ensuring code is clean, testable, and adheres to security guidelines and architectural principles.
Use deal, discounting, benchmark and performance data to identify trends and opportunities across pricing, packaging and exception management, and develop reporting on margin quality, throughput and pricing performance
You will facilitate analysis workshops through “innovation games” with senior client stakeholders to outline business vision, objective, product roadmap and a project release plan.
Facilitate workshops and working sessions to analyze current-state processes, pain points, customer and advisor journeys, and define practical target-state processes.
Lead requirements workshops with senior stakeholders, perform current-state and gap analysis, and translate business needs into system and solution design specifications.