About the role
Business Partnership Provide actionable insights on revenue performance, business health, and investment decisions Influence decision-making through clear, data-driven narratives Partner with stakeholders to continuously improve insight quality and business impact Act as a trusted advisor to finance and business leaders across MCAPS Design and build scalable BI environments (e.g., Power BI, Fabric, semantic models, data pipelines) Ensure compliance with company policies, financial controls, and reporting standards Maintain data governance and accuracy across automated reporting solutions 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. Experience building BI and reporting solutions (e.g., Power BI, Fabric, SQL, semantic models) Skilled financial modeling and business performance analysis skills Experience translating complex data into executive-ready insights Show intellectual curiosity in AI and its application to finance Demonstrated builder mindset with experience creating scalable systems Passion for simplification, automation, and operational excellence Ability to operate in ambiguity and challenge the status quo Proficient collaboration across finance, data, and engineering teams Demonstrated success driving automation and process transformation
