Description Role Purpose: As a Senior Analyst your role is pivotal in harnessing the power of data to drive business success across Reckitt Sales Execution. You will serve as the bridge between data analysis and market insights, utilizing your unique combination of technical expertise, commercial acumen and organization skills to guide your decision-making processes. Your purpose is to lead the implementation of Sales Excellence products in the selected markets, assisting local IT and Sales teams, embed in their organization for you to be seen as a Strategic Partner, and generate value. Key Responsibilities: Collaborate closely with cross functional teams to understand market dynamics, get in-depth understanding of businesses process and what are the gaps/opportunities that can be addressed. Seen as an SME on the Functional area and the products/data science behind it Lead a cross functional team that will be responsible of product development. Document and map the existing business processes. Perform project management & deployment activities. Act as 'technology translator' for the business to build confidence on the capability and facilitate product implementation and adoption. Working closely with the business on value realization, be the SME on the product and data science behind Management & functional Accountabilities: Engagement management with the local IT and Sales teams Lead the implementation of the products in the select markets Ensure processes and best practices are documented and shared across markets Ownership on the value delivery from the products implemented in the markets Coordination between teams, internal and external Vendors Mangement Skills & Experience required: Bachelor's or Master's Degree in Data Science from premier institutes such as ISB/IIMs/IITs. Proven experience in data analysis and machine learning techniques, specifically in the FMCG industry. Experience in Sales Execution/Excellence is desired, understanding of the FMCG Commercial E2E is a must. Experience in preparing Business case and value stream mapping. Demonstrated experience in Sales analytics, econometric models, consumer insights domain Hands on experience in all or some of below skills: Segmentation, Multivariate Linear/Log Linear Regression, Price and promotion analytics, Statistics and Econometric Modelling and Visual storytelling, Sales analysis and Recommendation Engines. Proficiency in programming languages such as Python or R. Experience with data visualization tools like Power BI is a plus. Equality At Reckitt, we recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. Come and join a team whose purpose is to protect, heal and nurture in the relentless pursuit of a cleaner and healthier world. All qualified applicants to Reckitt will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
