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Advanced Analytics Translator

McKinsey & Company

McKinsey & Company

Data Science
Santiago, Santiago Metropolitan Region, Chile
Posted on Tuesday, November 14, 2023

Advanced Analytics Translator

This is an exciting consulting role for candidates with experience using advanced analytics solutions and data sets in the Operations Practice.

  • Santiago

Who You'll Work With

You will be based in our Santiago, Chile office as part of Operations Analytics in Latin America.
We work with clients to identify where to focus, convert data and models into actionable insights, and develop institutional skills and structures to sustain impact. We use advanced analytics not only to improve the design of physical systems but also to address management infrastructures and employees' attitudes and behaviors so that clients are able to lead change independently. We assist our clients in solving the world’s toughest problems by blending strategic thinking with hands-on practicality. Our team of consultants and experts work to develop and implement strategies that solve our clients' most critical problems on a global scale.

What You'll Do

You will communicate data science features and capabilities to internal and external stakeholders with an eye to identify business needs and uncover areas for deeper data exploration.
In this role, you will play a key consultative and client-facing role in the development of big data and advanced analytics as a refined yet evolving capability of our client teams who advise the top firms in the Operations sector. You will work with clients to help make the connection between our data science capability and real-world tangible impact and insight. You will act as a thought partner with analytics colleagues in the selection of techniques used for data modeling as well as establish operating practices to ensure high quality and efficient extraction and transformation of data.
Additionally, you will engage with our clients to create new strategies across a wide platform of projects from automation to mine optimization to predictive maintenance and more. You will not only expand our current analytics capabilities but will help architect new strategies and applications within a dynamic innovative organization.


  • Undergraduate degree in computer science, applied math, statistics, engineering or related quantitative field; master's or PhD degree in computer science, artificial intelligence, applied statistics or mathematics is a plus
  • 2+ years of technical and management experience in distributed computing, machine learning and statistics-related work preferably within heavy industry, basic materials (e.g., metals & mining) or service industries
  • Technical experience in predictive analytics, deep learning, machine learning, data mining and/or optimization in an operations-related field (e.g., manufacturing, supply chain, procurement, workforce management and/or fleet scheduling)
  • Experience in defining and/or implementing digital strategies and analytics across all stages of the value chain is a plus
  • Knowledge of Tableau/PowerBI
  • Programming experience in R and/or Python; SQL is a plus
  • Ability to independently own and drive model development, balancing demands and deadlines
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Strong communication skills especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues
  • Skills to communicate complex ideas effectively, both verbally and written, in English and Spanish
  • Willingness to travel up to 80%
Apply Now
Job Skill Group - CSS Pre-Associate
Job Skill Code - JPS - Junior Specialist
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Nov 10 00:00:00 GMT 2023
LinkedIn Posting City - Santiago
LinkedIn Posting State/Province -
LinkedIn Posting Country - Chile
LinkedIn Job Title - Advanced Analytics Translator
LinkedIn Function - Manufacturing;Other;Supply Chain
LinkedIn Industry - Mining & Metals
LinkedIn Seniority Level - Associate