Responsibilities
Functional Responsibilities:
- Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM 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 LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio
- Support LATAM 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 LATAM 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 the field of analytics
- Critical experience as Data Scientist and Programming in Python & BI skills, basic statistics like regression, types of distribution, expertise in Nielsen, knowledge of media sufficiency/MMM is good to have
- Experience either in boutique analytics consulting or Captive analytics teams
- 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
- Experience in leading mid-sized teams of data scientists and modelers
- 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, SQL, R, Python desired
- 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 Fluent
