Job Details
ResponsibilitiesMain PurposeProvide advanced analytics support for the FLNA Sector in the Insights Services Center a part of the broader Global Business Services function in Hyderabad, India This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for FLNA to drive deeper understanding of business performance drivers both at the national and regional levelPrimary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Marketing Mix Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, etc Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various Frito-Lay brands The role will have short-term responsibilities for knowledge transfer from the business and effectively establishing business process and communication methods with teams they support both are crucial requirements to enabling the organization to deliver answers to on-going business questionsAccountabilitiesFunctional Responsibilities:.
Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the FLNA Business Service Service Centero Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisionso Identify, assess, and visualize key market share drivers for FLNA Categories, as a growth catalyst to prioritize and enable brand planning across portfolioo Support FLNA region's annual SKU optimization process for the portfolio analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targetso Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capabilityo Develop, maintain, and apply statistical models to business questions - including forecasting, marketing mix, price sensitivities/corridors, drivers analysis, market structure, etco Forecast market growth leveraging (CUBE - an internal tool) on an annual basis to inform PEP's long-term expectations for growtho Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies o Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholders in FLNA US HQ and region officeso Own flawless execution of analytics exerciseso Responsible for managing multiple priorities being able to manage deadlines and deliverableso Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projectso Deliver outputs in line with the agreed timelines and formatso Flag and monitor any business risks related to delivering the requested outputso Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operationso Improve existing processes based on frequent Business Partner & end-user feedback loopQualificationsKey Skills/Experience Required An experienced analytics profession in a leading consumer goods company.
4 years+ experience Education: MA/PhD in economics, sociology, math, statistics, marketing or management High degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen/IRi (POS and HH panel), GlobalData, Kantar Worldpanel, etc Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to address business questions in a robust way that translates to simple outputs.
Proficient with Power Point and Excel Experience with Agile development methods, SQL, R, Python desired Experience in statistical model development (Probabilistic graphical models, marketing Mix Models, Market Basket Analysis, Cannibalization Models, Share of Market Forecast Models, General and Bayesian Regressions) Database management and programming capabilities .
Strong collaborator: Interested and motivated by working with others Actively creates and participates in opportunities to co-create solutions across markets will be willing and able to embrace Responsive Ways of Working Can easily see how insights/research learning can improve businesses impact and frames up reporting efforts and opportunities to inform business decisions Proven analytics, shopper research experience, or consumer insights experience applying statistics to CPG industry business problems Operational experience from business servicing sector and/or consulting experience would be a plus .
Language: English FluentDifferentiating Competencies Required Essential: World-class stakeholder management skills High degree of organizational savvy Solution-oriented approach to problem solving Ability to challenge requests in a constructive way that does not damage relationships or slow progress.
Depth and breadth of syndicated data analytics and statistical modeling Complete understanding of internal & external data sources that could contribute to analytics roles across service centers Experience leading model development, scaling, and deploying across markets for sustained usage and impact Strong analytical thinking with proven ability to connect data & insight from category consumption, brands drivers, macro & micro trends, and future forces of consumer change and deliver clear implications for the business