Use powerful analysis tools to inform the future of our products
Market Technologist Engineer (M/F)
Would you like to apply your education and experiences in exciting and meaningful ways from day one? Are you interested in going deep in technology or taking on a business facing role that leverages your IT knowledge and interests? If so, a unique opportunity may be waiting for you at P&G where we offer a variety of roles that bring together business, technology and innovation to create competitive advantage for P&G. Descriptions on the types of roles and work available can be found in the Job Responsibilities.
- Full Time
- Level: Recent Grad/Entry level
- Glassdoor Reviews and Company Rating
What makes an IT employee successful at P&G? Check out the top traits we’re looking for and see if you have the right mix.
Do you want to use your Analytic Skills and Strategic Thinking to drive Billion Dollar Brands? Are you looking for a dynamic experience that puts together Technical Analysis and Business Intelligence?
If yes, apply here:
Leader of data application, integration and data modeling & business process transformation, Big data modeling.
Business Need: Become a BIG DATA centric CPG Company and turn data into a competitive advantage for sustainable and profitable growth ‘’data driven problem solver’’
- Establishing THE Data hub and integrate different data systems/platforms
- Understand new data sets and business opportunities to simplify use of platforms
- Data Understanding and strong commitment to protect data privacy, GDPR, Info Sec for company
- New Big data models: integrate data to accelerate performance marketing
Behaviour: Be and become the data professionals who prepare the “big data” infrastructure and apply Data Science. Required a good understanding of statistics, be familiar with statistical tests, distributions, maximum likelihood estimators, etc. This will also be the case for machine learning, but one of the more important aspects of the statistics knowledge will be understanding when different techniques are (or aren’t) a valid approach. Statistics is important at all company types, but especially data-driven companies where stakeholders will depend on your help to make decisions and design / evaluate experiments. They are software engineers who design, build, integrate data from various resources, and manage big data, data-driven problem-solver. Then, they write complex queries on that, make sure it is easily accessible, works smoothly, and their goal is optimizing theperformance of their company’s big data ecosystem; and it’s really important to know how to deal with imperfections in data. They might also run some ETL (Extract, Transform and Load) on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists. Beyond that, because Data Engineers focus more on the design and architecture, this resource should have to know machine learning or analytics for big data.
Skills: Programming Skills, Statistics, Machine Learning, Multivariable Calculus & Linear Algebra, Data Wrangling, Data Visualization & Communication, Software Engineering, Data Intuition
Methods: Hadoop, MapReduce, Hive, Pig, Data
streaming, NoSQL, SQL, programming, AWS, R or Python, and database querying
language like SQL.
Tools:DashDB, MySQL, MongoDB, Cassandra, Knime
Location: Madrid, Spain
Job Id: IT 00002295
Paid Time Off
Health and Wellness Programs
Stock Purchase Program
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