Commercial Digital Data Analyst

Job description

Auto req ID: 217449BR

Job Description

The retail landscape is changing at a rapid pace. The boundaries between online and offline have never been more intertwined. In an effort to accelerate the omnichannel transformation agenda, PepsiCo Europe will be investing in developing advanced digital sales solutions for our independent customers, i.e. Traditional Trade. With stronger digital engagement with our customers, we aim a continued profitable growth in our Traditional Trade channel.
As an innovative company, PepsiCo Europe decided to develop 2 priority digital platforms and expand them across all of its business units: digital ordering and Customer Engagement Platform. Additional digital tools & capabilities will be built in light of customers’ needs and PepsiCo’s growth aspirations in the future. We are looking now for a Commercial Digital Data Analyst who will take ownership of advanced analytics models, supporting commercial digital capabilities.

Main Purpose

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Produce, manipulate, and interpret model outputs to facilitate use by local teams or local tools.

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Support integration of model outputs into local business processes.

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Identify and escalate opportunities to enhance and expand model functionality and applications.

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Act as a lead point of contact with Sector and GBS Advanced Analytics teams.

Accountabilities

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Responsible for analyses based on data extracted from commercial digital platforms (digital customer engagement, digital face recognition, digital ordering).

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Responsible for the quality of data to be uploaded on commercial digital platforms

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Develop best-practices for commercial digital platforms and scale lifting and shifting learnings across countries and categories

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Maintenance of existing models: periodic refresh of existing models across markets and brands; periodic model validation to check the need for a rebuild; guiding business with periodic updates

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Ensure timely build and refresh of the models so that it can help in timely business decisions

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Create reusable modeling assets (codes, techniques, functions) to cut short refresh and model build time

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Engage in trying new modeling techniques to ensure faster and better answers to business problems

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Problem-solving aptitude

Qualifications/Requirements

Key Skills/Experience Required
·  2-5 years of hands-on data science, model building
·  Experience either in analytics consulting or internal analytics teams
·  Experience in translating a business problem into an analytics framework and vice versa
·  Data science capabilities, advanced analytical skills.
·  Advanced knowledge of key data science techniques: combining data from multiple sources; data preparation and feature engineering;
·  High level of proficiency in Oracle database, SQL, VBA, MS Access & Excel
·  Familiarity with query languages
·  Able to translate complex concepts into clear stories for the business, proven through at least 18 months' experience in a business-facing data science role.
Relocation Eligible: Not Applicable
Job Type: Regular