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Data Analytics Engineer

We are looking for an Analytics Engineer to join our Digital Solutions R&D team in Genova, supporting developing and productizing end-to-end energy applications for Grid Edge Solutions. This role will be partnering closely with our domain R&D and Software Development team to fulfill business and technology roadmap. Your focus is to make use of existing infrastructure created to acquire and centralize operational data from grid edge energy assets and develop data analytics to transform data into actionable insights. You will utilize your knowledge on statistics, machine learning, and mathematical modelling to create business analytics that can support decision making to maximize business revenues. You will work on modelling data, applying data cleaning techniques, and data transformation techniques. Working with digital team on deriving analytics to fulfill business use cases. Propose data visualization for reporting data that can appeal to different stakeholders. You will be part of the Grid Edge Solutions R&D team focusing on delivering digital applications applied to Distribut-ed Energy Resources and Battery Energy Storage Systems. You will be working on topics related to Energy Man-agement, Energy Trading, and Asset Performance Analysis.

Your responsibilities

  • Define and implement data pre-processing rules this includes data cleaning, and datasets creation
  • Feature engineering, preprocessing and analysis of structured and unstructured multivariate data
  • Develop analytics algorithms by applying statistical, and machine learning approaches
  • Propose appropriate illustration of the analytics results to appeal to different stakeholders and report clearly the insights
  • Model energy problems from a mathematical point of view considering operation constraints and achieving desired economical objective

Your background

  • Master’s Degree in Computer Science and Informatics, Statistics, Business Analytics, or related field
  • 1 to 2 years’ experience in data analytics role or similar
  • Excellent Python skills including ability to program
  • Good knowledge on relational databases SQL, and others
  • Knowledge of supervised and unsupervised machine learning techniques
  • Knowledge of AMPL and other mathematical modelling languages is a plus
  • Experience with energy domain plus
  • Strong communication and presentation skills
  • Fluency in English written and spoken, and knowledge of Italian language is a plus