Sr Analyst Fp&a Regions, Data Engineer
hace 2 semanas
Sr Analyst FP&A Regions, Data Engineer Description Grow your career with 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, Aramis, Aveda, Bobbi Brown, Bumble and bumble, By Kilian, Clinique, Darphin, Donna Karan, DKNY, Dr.
Jart, Editions de Parfums Frédéric Malle, Ermenegildo Zegna, Estée Lauder, GLAMGLOW, Jo Malone London, Kiton, La Mer, Lab Series, Le Labo, M-A-C, Michael Kors, Origins, Prescriptives,Smashbox, Tom Ford, Tommy Hilfiger and Too Faced.
Infused throughout our organization is a passion for creativity and innovation; a desire to push the boundaries and invent the unexpected.
Position Overview:
This position will develop, support and maintain scalable data pipelines that will ingest, transform and distribute numerous data streams into the organization's entire data ecosystem.
This resource is expected to lead data wrangling, ETL and data processing cluster development initiatives while working very closely to its BI&A counterpart supporting and developing advanced machine learning and statistical models.
Furthermore, understanding global business customer needs will be vital for the role in order to create the appropriate data streams to ingest and connect global data sources which are then used for insight creation and decision making.
This position will also require the implementation of data handling improvement projects across finance, such as process streamlining, capacity creation through identification of automation and integration opportunities, elimination of hold times and backlogs, to cite a few examples.
Key Responsibilities:
Start-up Team Work closely with the different business organizations and BI&A team Define and identified the personas and understand their business needs for analytics.
Data Democratization Prepare data for prescriptive and predictive modeling Make data drive analysis to enable business decision making Qualifications: Major in Business, Industrial Engineering or IT 3.5 Years of experience OneSource Provides responsive and flexible services Innovative/Change agent.
Qualifications Grow your career with 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, Aramis, Aveda, Bobbi Brown, Bumble and bumble, By Kilian, Clinique, Darphin, Donna Karan, DKNY, Dr.
Jart, Editions de Parfums Frédéric Malle, Ermenegildo Zegna, Estée Lauder, GLAMGLOW, Jo Malone London, Kiton, La Mer, Lab Series, Le Labo, M-A-C, Michael Kors, Origins, Prescriptives,Smashbox, Tom Ford, Tommy Hilfiger and Too Faced.
Infused throughout our organization is a passion for creativity and innovation; a desire to push the boundaries and invent the unexpected.
Position Overview:
This position will develop, support and maintain scalable data pipelines that will ingest, transform and distribute numerous data streams into the organization's entire data ecosystem.
This resource is expected to lead data wrangling, ETL and data processing cluster development initiatives while working very closely to its BI&A counterpart supporting and developing advanced machine learning and statistical models.
Furthermore, understanding global business customer needs will be vital for the role in order to create the appropriate data streams to ingest and connect global data sources which are then used for insight creation and decision making.
This position will also require the implementation of data handling improvement projects across finance, such as process streamlining, capacity creation through identification of automation and integration opportunities, elimination of hold times and backlogs, to cite a few examples.
Key Responsibilities:
Start-up Team Work closely with the different business organizations and BI&A team Define and identified the personas and understand their business needs for analytics.
Data Democratization Prepare data for prescriptive and predictive modeling Make data drive analysis to enable business decision making Qualifications: Major in Business, Industrial Engineering or IT 3.5 Years of experience OneSource Provides responsive and flexible services Innovative/Change agent.
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