Demand Analytics Manager EMEA

Contenu de l'offre Demand Analytics Manager EMEA chez The Estée Lauder Companies

The Estée Lauder Companies Inc. is one of the world's leading manufacturers and marketers of quality skin care, makeup, fragrance and hair care products. As the global leader in prestige beauty, we touch over half a billion consumers a year. Our Company's products are sold in over 150 countries and territories under the following brand names: AERIN, Aveda, Bobbi Brown, By Kilian, Clinique, Darphin, DKNY, Editions de Parfums Frédéric Malle, Ermenegildo Zegna, Estée Lauder, GLAMGLOW, Jo Malone London, La Mer, Le Labo, MAC, Michael Kors, Tom Ford, and many more.

The EMEA Demand Analyst Manager is a member of the EMEA Regional Demand Planning team. (S)he will be responsible for the evolution of the ML Stat Forecast algorithm and data architecture.

(S)he generates insights by analysis product segmentation and market trends, Business context, historical shipments, sell through and statistical forecast performance to guide operational excellence for our EMEA Demand Planning group.

(S)he will be the SPOC collaborating with the Statistical Forecast provider (Antuit) and the global Stat CoE to continuously improve statistical forecast accuracy for our business, leveraging best in class modelling technology. (S)he reports on Stat forecast change and stat forecast performance monthly, challenges our vendor to continuously improve results and challenges our planners to deliver forecast value add.

(S)he drives EMEA Demand Planning KPI analysis and action plan.

(S)he is a subject matter expert for the E2E Planning transformation initiative, collaborating with global Stat/ Plan CoE to stand-up the o9/Stat Global Template.

(S)he oversees a team of 2 forecasts analysts.

The role is located in our EMEA headquarters in Paris and will report the VP Demand Planning EMEA.

Responsibilities

Enhance ML algorithm and data architecture over time. Analyze Stat forecast and performance to generate insights across brands, affiliates and channels that will guide operational excellence, decision making and planning strategy for the EMEA demand planning team (>50+ planners) Identify through data analytics the biggest opportunities for EMEA forecast accuracy gains Design monthly Analytics package to be delivered monthly to the regional demand planning & Brand team that is insightful and actionable Own relationship / be primary EMEA POC for Statistical Forecast provider (Antuit), global CoE and the EMEA region: ensures the EMEA region receives due service as per SLA, collaborate to operationalize new processes that leverage the advanced stat functionalities (NPL stat forecast, Sales Drivers modelling); escalate when necessary to senior leadership Work with the demand planning team to model sales drivers’ input into the statistical forecast, measure their accuracy and draw insights and recommendation Subject Matter Expert (SME), represent EMEA in E2E transformation initiative to design and build technology to support stat forecast and demand planning work processes, as such serve as the key interface between ELC Operational Demand planning team, the service providers (Antuit, o9) and the global and regional CoE Configure dashboards and reporting tools to enhance data visualization and adapt to multiple needs/ audience Perform monthly analysis of Forecast Accuracy KPIs (MAPE, Attainment, Bias) and present results to senior leaders Facilitate Forecast Accuracy KPI action plan reviews, follow-through on actions with accountable stakeholders Drive a culture of Data science; Data analysis in the Regional Demand Planning team Staff & develop a team of 2 forecast analysts
Qualifications

Profile

Master’s Degree in quantitative field (Data Science, Artificial Intelligence, Statistics, Analytics, Computer Science, Maths or equivalent) 6 years of industry experience, previous demand planning role preferably at CPG/Beauty industry is highly desirable Experience in building machine learning models including classical linear time series methods (ARIMAX) as well more advanced non-linear techniques (trees, neural networks [fully connected/recurrent/ LSTM]) Understanding of common issues related to machine learning modeling – over fitting, hyperparameter tuning, challenges with dimensionality, model selection and testing criteria Experience with one or more common programming languages (R/Python/Scala/Julia) Relevant working experience in an analytical role involving data querying, extraction, cleaning, manipulation (e.g. SQL, different types of joins, aggregation, ordered analytical functions etc.) Ability to associate Business understanding brands /products / market trends to forecast analysis in support of the IBP and DP organization. Strong knowledge of statistical methods (time series forecast, causal modeling, machine learning applications) and analytical techniques Experience working with reporting tools (Qlikview, BI, HANA…) Strong knowledge of visualization tools (Tableau, PowerBI…) Strong verbal and written communication, influencing and partnership skills: ability to interact with senior leadership and use data to influence. Experience in communicating business performance metrics and deep analytics to leaders and non-expert people. High-initiative, self-starter and able to work with limited supervision English is a must have, French is desirable People management experience

Benefits

At Estée Lauder Companies, we believe in investing in your personal and professional growth. We offer competitive packages, performance-based rewards, an environment where autonomy, creativity, growth and innovation are encouraged, plus global career opportunities.

As a global company, present in 150+ countries, it is essential that we have a diverse workforce that is reflective of our consumers across the world and leverages local relevancy. Inclusion and Diversity (I&D) are a natural extension of our company values and are embedded in our culture and business strategy.

Are you up for your next challenge? Join the #ELC Family!

Job: Inventory Management and Planning - Supply Chain
Primary Location: FR-IDF-Paris
Job Type: Standard
Schedule: Full-time
Shift: 1st (Day) Shift
Job Number: 205354