Data Visualization Engineer
Estée Lauder Companies GmbH
Panamá, Panamá, PA
hace 4 días

Data Visualization Engineer

Description

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 empower the team to deliver insights across several business domains (marketing, sales, supply chain, etc.) with the creation of advanced visualization tools like Power BI through advanced DAX, Tableau and Power Apps / Power Automate. You will ingest data from centralized sources and channel it through a team to tackle multimillion-dollar business problems and opportunities to transform the way ELC does business. The team will leverage the analytic tools you create to discover actionable business insights in big data environment. 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 into a simple digestible visualization tools to create 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 the Data Analytics Team
  • Optimize data ingestion
  • 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 visualization tools to extract knowledge from raw data and transform it into meaningful and impactful visualization solutions

Day-to-Day Service Delivery

  • Advanced Data Visualization
  • Create custom visuals that enhance key components to maximize the use of data pipelines
  • Recommend ways to improve data reliability, efficiency, and quality
  • Centralize data into easily digestible and fast solutions
  • Build data pipelines that enable the organization to collect data points from different sources available.
  • Prepare dashboards and solutions that could immediately tell stories
  • Make data drive analysis to enable business decision making
  •  

Qualifications

Qualifications

  • Major in Business, Industrial Engineering or systems Engineering, Advanced Mathematics
  • 3.5 Years of experience
  • Fully bilingual, English and Spanish

 

 OneSource

  • 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.

 Functional

  • 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
  • Advanced
  • 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 Visualization
    • Familiarity with Data Science and Big Data Frameworks
    • Structured Query Language (SQL) and Data Engineering software
    • Alteryx (desired)
    • Power BI – advanced DAX required
    • Power Apps and Power Automate
    • 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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