Job Details

Senior Data Analyst - Cyber Solutions, Risk

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Job Description

You'll work in San Francisco or Silicon Valley for our Cyber Solutions group, part McKinsey’s Risk Practice

We help organizations generate insights they need to address both strategic and day-to-day decisions. These solutions complement McKinsey's traditional client service and are delivered in many ways, including subscriptions, workshops, training programs and project-based engagements. We work closely with clients to embed our tools, analytics, and expertise, and provide ongoing support to help them build the capabilities they need to revolutionize how decisions are made.

Working with both our vendor teams and client support teams, you will identify valuable data sources and automate collection processes.

You will undertake pre-processing of structured and unstructured data to build on our knowledge lake, and you'll build predictive models and machine-learning algorithms to help turn the knowledge into insights used to inform client initiatives.

You'll have the opportunity to expand your business knowledge by developing a deep understanding of the domain and function. You'll also develop cross-site relationships to enhance idea generation.

  • 3+ years of experience in the field of Data Science and Engineering
  • 3+ years of experience in data mining
  • 3+ years of experience with R, SQL, and/or Python
  • Knowledge of data mining, machine learning and statistical modelling is preferred
  • 3+ years of experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Experience in cybersecurity a plus
  • Excellent time management skills
  • Ability to act autonomously, bringing structure and organization to work
  • Sound problem-solving skills
  • Creative and action-oriented mindset
  • Strong communication skills in English; communication skills in other languages is advantageous

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