Requirements: --POSITION REQUIREMENTS:--Experience--leveraging--AI and advanced analytics tools to enhance data analysis, automate reporting, and develop KPI frameworks--Working knowledge of R (or similar statistical programming languages) to perform advanced analytics, modeling, and data transformation--Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and related technologies to support reporting, automation, and data-driven solutions--Strong data storytelling and communication skills, with experience working with both senior leadership and cross-functional stakeholders--Demonstrated ability to connect analysis to business outcomes, particularly in sales or revenue performance contexts--Ability to balance analytical rigor with responsiveness, prioritizing effectively in a fast-paced environment--Self-motivated with strong ownership, critical thinking, and problem-solving skills--Collaborative mindset with the ability to support cross-functional initiatives and align analytics to business needs--Focus on continuous improvement, including automation and scalable reporting solutions--EDUCATION AND PREFERRED TRAINING REQUIREMENTS:--Bachelor's Degree in Finance, Accounting, Business, or related field (required); MBA (preferred)--Familiarity with data query / relational databases highly beneficial (SAP, Power BI, SQL, etc.) (preferred)--Six or more years of relevant experience, ideally in Life Sciences, commercial finance, FP&A, or sales analytics.--WORK --POSITION OBJECTIVES:--Participate in the development and delivery of sales performance analytics, KPI frameworks, and executive reporting to provide clear visibility into revenue drivers--Perform in-depth analysis of sales, customer, and product data to--identify--trends, risks, and opportunities, translating findings into actionable insights--Partner with Sales, Marketing, and Leadership to define metrics, evaluate performance against strategic assumptions, and support decision-making--Build and--maintain--forecasting and analytical models to support planning, scenario analysis, and business strategy--Deliver both recurring reporting and ad hoc analysis, balancing speed and analytical depth based on business needs--Drive improvements in data quality, reporting processes, and scalable analytics solutions, including automation--Translate complex datasets into concise, executive-ready narratives,--leveraging--data storytelling to communicate insight effectively--.