R&D Data Analyst

The role of an R&D Data Analyst will involve focusing on developing strategic insights and providing smart analytics to support R&D priorities. You will be responsible for connecting data from various sources, developing insights related to portfolio analysis, and creating accurate visualizations for generating valuable insights. It is essential to collaborate with the finance team, establish quality control checks, review portfolio reports, and share insights within the R&D team. Your responsibilities will include executing against the team charter for Reporting & Analytics, creating, maintaining, and upgrading Excel utility tools using VB/macros and complex formulas, and producing portfolio level reporting of R&D spend through dashboards and reporting tools. You will also need to provide business performance explanations, address optimization opportunities, respond to ad-hoc queries, and support Reporting Lead/Senior Managers/Managers in meeting information needs. Furthermore, you will be accountable for managing multiple priorities, ensuring data integrity across platforms like Excel, Clarity, and Anaplan, supporting data loads, and coordinating with the Power BI reporting team. Your role will involve delivering insights, supporting SSC strategy delivery, and contributing to the establishment of an Insights sub-team within the service center. To qualify for this role, you should be a junior/mid-level Insight or Analytics professional with over 6 years of experience in a consumer goods company. A Bachelor's degree in Computer Science, Economics, Math, Data Science, or Management is required. Proficiency in English, excellent technical skills for data processing and visualization, and the ability to work with various data visualization tools are essential. Additionally, you should have strong stakeholder management skills, be solution-oriented, and possess excellent communication skills. In summary, as an R&D Data Analyst, you will play a crucial role in developing insights, analyzing data, and providing valuable information to support R&D priorities and business decisions.,