Revenue Planning Reporting & Analytics Lead

Own and evolve our planning reporting ecosystem, including Power BI dashboards, Excel-based analytical tools and views, and executive PowerPoint materials used to support budget setting and decision making. Lead budget analytics, identifying key growth drivers, trends, risks, opportunities, and areas requiring leadership attention across the commercial portfolio. Translate complex planning data into clear executive insights and narratives that help corporate, field sales, and Finance leaders understand our growth ambitions and make informed decisions. Shape the data foundation for planning, defining critical data requirements, validation controls, and analytical views needed to create a reliable and scalable planning process. Drive automation and AI-enabled transformation, identifying opportunities to simplify manual processes, accelerate analysis, improve reporting experiences, and create new capabilities through AI and technology. Own consolidated target models and analytical views that connect growth expectations with the budgets and targets established for the field. Partner with Finance Data & Engineering and other stakeholders to build scalable reporting solutions and embed automated data validation to reduce manual checkpoints. Partner across planning teams and field Finance organizations to understand their needs and continuously improve the reporting, analytics, and insights used throughout the planning cycle. Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience. Masters Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years of post-graduate financial analysis, accounting, controllership, or finance work experience OR Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years of post-graduate financial analysis, accounting, controllership or finance work experience OR equivalent experience. 1+ year(s) experience in multinationals with multi-product/multi-segment finance roles. 1+ year(s) work experience in matrix-based organization. 1+ year(s) work experience in the technology or software industry. Proficient written and verbal communication skills Proven command of Excel and Powerpoint, PBI Familiarity with AI and/or Automation tools Situational awareness to adapt to and solve complex business problems/challenges and ability to find solutions to unanticipated challenges Partnering capabilities, collaborative and inclusive when working with others Ability to work independently with minimal direction and comfortable working through ambiguity Experience with Coding, Cube functions, DAX queries, SQL databases and SQL data tables is a plus