Sr Analyst, Data Engineer

hace 3 semanas

Panamá, Panamá The Estée Lauder Companies A tiempo completo

**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**:
**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.

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.
- 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.

Day-to-Day Service Delivery
- Data Engineer
- Collaborate with EDM and IT teams to ensure data accuracy and connectivity
- Support distributed data processing administration tasks
- 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

**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.
- 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.

**Qualifications**

**Qualifications**:

- Major in Business, Industrial Engineering or IT
- 3.5 Years of experience

**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.

**Job**: Finance & Accounting

**Primary Location**: Latin America-PA
- **Job Type**: Standard

**Schedule**: Full-time

**Shift**: 1st (Day) Shift

**Job Number**: 2226385

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