Consumer & Shop Insights Assoc Manager at PepsiCola Bottling Company of New York Inc

, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

16 Sep, 26

Salary

0.0

Posted On

18 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, R, Statistical Modeling, Predictive Analytics, Market Mix Modeling, CPG Domain Knowledge, Team Leadership, Agile Methodology, Data Visualization, Forecasting, Consumer Insights, Stakeholder Management, Price Sensitivity Analysis

Industry

Food and Beverage Services

Description

Overview Provide advanced analytics support for the EMEA 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 EMEA to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of EMEA. 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 brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors 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 questions Responsibilities Functional Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the EMEA Business Service Service Center Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions Identify, assess, and visualize key market share drivers for EMEA Categories, as a growth catalyst to prioritize and enable brand planning across portfolio Support EMEA region’s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. Forecast market growth leveraging (PGM – an internal tool) on an annual basis to inform PEP’s long-term expectations for growth 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 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 EMEA and region offices Own flawless execution of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables 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 projects Deliver outputs in line with the agreed timelines and formats Flag and monitor any business risks related to delivering the requested outputs 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 operations Improve existing processes based on frequent Business Partner & end-user feedback loop People and Project Management Responsibilities Leading a team of 4-5 data scientists and modelers Develop new skillsets among team members related to advanced analytics by conducting training and period review Promotes cross functional seamless communication, sharing know how and creating same quality of experience across sector markets Qualifications 10-14 years of experience in data science, analytics, or applied machine learning roles. Candidates from consulting background are preferred Experience in leading mid-sized teams of data scientists and modelers Strong track record of delivering hands‑on analytical and ML solutions with measurable business impact. Strong foundation in probability, statistics, and classical machine learning algorithms. Advanced proficiency in Python and SQL, R Hands‑on experience with ML libraries (e.g., scikit‑learn) and deep learning frameworks (PyTorch and/or TensorFlow). Have been hands-on modeler in the past specifically in market mix /attribution modeling, CPG domain preferred. Experience in translating business problem into analytics framework and vice versa Well versed in statistical techniques Educational Background- BE/B TECH/ MSC Economics or Statistics, MBA preferred for Analytics translator 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 Experience with Agile development methods. 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

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Responsibilities

Lead a team of data scientists to provide advanced descriptive and predictive analytics for the EMEA sector to drive business growth. Develop statistical models for pricing, assortment, and market structure while collating consumer insights to inform brand strategies.