Data Analyst
Estée Lauder Companies GmbH
Panamá, Panamá, PA
hace 6 días

Data Analyst


Grow your career with The Estée Lauder Companies!


The Estée Lauder Companies Inc. the world's leading manufacturers and marketers of quality skin care, makeup, fragrance, and hair care products with over 60K employees worldwide. As the global leader in prestige beauty, we touch over half a billion consumers.

Our Company's products are sold in approximately 150 countries and territories under brand names including Estée Lauder, Aramis, Clinique, Lab Series, Origins, MAC, La Mer, Bobbi Brown, Aveda, Jo Malone London, Bumble and bumble, Darphin Paris, TOM FORD BEAUTY, Smashbox, AERIN Beauty, Le Labo, Editions de Parfums Frédéric Malle, GLAMGLOW, KILIAN PARIS, Too Faced, Dr.Jart , and the DECIEM family of brands, including The Ordinary and NIOD.

Infused throughout our organization is a passion for creativity and innovation; a desire to push the boundaries and invent the unexpected.


Position Overview

You will deliver insights across several business domains (marketing, sales, supply chain, etc.) with a combination of modelling/analytical skills, data management and business insight. You will anticipate and tackle multimillion-dollar business problems and opportunities to transform the way ELC does business. You will use data visualization, and analytic tools to create the business building insights in mountains of data. You are a business leader from day one: you need to be an effective communicator, self-motivated, and able to convert insights into actions that improve the business results. You’ll need to mine terabytes of data, derive actionable insights, and translate complex outputs or algorithms into simple conclusions that will empower others to take action to win with consumers


Roles and Responsibilities

  • Work closely with the different business organizations and BI&A team

  • Define and identified the personas and understand their business needs for analytics.

  • Identify the key business questions and how they connect with different data sources

  • Define the metrics, analyze the available data, and join sources to get the correct insights.

  • Be proactive in identifying potential new analytical projects to extract knowledge from raw data and transform it into meaningful and impactful information.

  • Become the subject matter expert in data analytics leveraging on top notch process mining tools to identify process variants, bottlenecks, loops, correlation analysis whilst generating meaningful data models.


Day-to-Day Service Delivery

  • Data Analytics

  • Create custom software components for use in data pipelines

  • Recommend ways to improve data reliability, efficiency, and quality

  • Develop machine learning models of classification to categorize unstructured data

  • Build data pipelines that enable the organization to collect data points from different sources available.

  • Data Democratization

  • Prepare data for prescriptive and predictive modeling

  • Make data drive analysis to enable business decision making





  • Major in Business, Industrial Engineering or IT, Statistics or Advanced Mathematics

  • 3.5 Years of experience

  • Fully bilingual, English and Spanish



  • Provides responsive and flexible services

  • Innovative/Change agent. Experiments with new concepts and approaches. Comes up with creative solutions to difficult problems.

  • Data and SLA commitment driven

  • Continuous improvement and service-oriented mindset.


  • Main Business Customers: Managers, Directors and Executive Directors

  • Strong focus on collaborating effectively with internal customers understanding their needs and identification of the audience and their area of focus

  • Strong communication, interpersonal, analytical, and problem-solving skills

  • Data processing and analysis skills

  • Abstract intelligence to be able to structure models, logic analysis and data management.

  • Spatial intelligence to be able to communicate business analysis through visual analytics

  • Analytics knowledge and Advanced Statistics

  • Advanced user of Office tools and strong on data analyst software tools such as:

    • Python, Alteryx or Knime for Data Science

    • Familiarity with Data Science

    • Structured Query Language (SQL) and SAP

    • Alteryx

    • Power BI – advanced DAX desired

    • Familiarity with Big Data processing frameworks such as spark, Hadoop or Samza


Additional Details

  • Work shift Monday - Friday. Business Hours

  • Contract-type Full-Time Permanent.

  • Location Costa del Este, Panamá.

  • Fully bilingual, English and Spanish

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