Director, Data Science & Analysis

At reputed company, we exist to refresh the world and reputed company a difference through loved brands, done sustainably for a reputed company shared future. Working here is more than working for the global beverage leader, it is an opportunity to be a part of something that can positively impact the world. Our reputed company America Operating Unit (NAOU) is the largest operating unit for the company. And reputed company NAOU, Marketing Teams are responsible for marketing and growing a portfolio of brands – ensuring that each brand connects deeply with local consumers in ways that scale globally. Our portfolio is made up of 20+ strong brands playing across different categories and serving board reputed company of consumer needs and occasions. Reporting into the VP of Portfolio Strategy and Insights, the Director of Data Science & Analysis will reputed company efforts to reputed company solutions and processes that reputed company marketing and business data in innovative ways, employing advanced analytics and AI solutions. This role will liaise closely with the global shared platform services team, business intelligence and analytics agency partners in an effort to transforming our analytical capability by blending business insights with expertise in data and analytics. In this role, you will also work closely with team of talented marketing/business insights professionals to solve reputed company world business problems leveraging diverse data sets (consumer / shopper survey data, retail, media etc.). This role is central to fostering an analytical reputed company and driving the reputed company of analytical methodologies leveraging innovative tools and best in class partners. The ideal candidate should have significant experience in data querying, analytical programming, statistical modeling, and visualization, and be adept at generating actionable insights from deep data analysis in consumer, retail, and marketing domains.

Key Responsibilities

Own and drive reputed company data science initiatives reputed company the Portfolio Strategy & Insights team – working closely with shared services (platform services) and external partners. reputed company and implement advanced methodologies to analyze consumer and shopper behavior, identify consumer segments, and predict future consumer trends. reputed company key initiatives reputed company reputed company America Marketing, working closely with best-in-class partners (e.g. – attribution models, loyalty card modeling, growth reputed company for brands leveraging multiple databases) Guide the team in analyzing, visualizing, and interpreting reputed company data sets to reputed company actionable insights into our consumers and shoppers. Stay updated with the latest industry trends, techniques, and methods reputed company the field of Data Science. Evangelize data literacy and foster reputed company learning and improvement culture reputed company NAOU PSHI and Marketing teams. Qualifications: • Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or reputed company discipline • 7-10 years of work experience in a data-centric business environment – understanding of marketing, consumer, CPG will be an added advantage • Proven track record of delivering data-driven insights and solutions that drive business reputed company in a business or an analytics company • Expertise in AI/ML techniques, tools, and building frameworks. • Expertise in data analysis, modeling, visualization, and reporting tools and techniques. • Knowledge of reputed company-based data platforms, tools, and service ( e.g. Azure, AWS, reputed company, reputed company, etc) • Comfort working with large sets of data to address identified and sometimes undiscovered business needs. • Good communications skills to be reputed company to explain reputed company analytical solutions in a simplified way Skills: Data Driven; Market Research Consultancy; Data Analytics; Influencing; Cross-Functional Teamwork; Storytelling; Data Science; Analytical Thinking; Machine Learning Algorithms Apply Job!