Junior Data Analyst - Cyber Solutions


  • Bachelor's degree in a technical area such as Mathematics, Computer Science or Quantitative Methods; Master's degree is a plus
  • Very good knowledge of Excel
  • Strong problem-solving, analytical and quantitative skills
  • Ability to work independently and as part of a team
  • Fluency in English

Who You'll Work With

You'll work with our Cyber Solutions team based in Wroclaw, Poland. Members of this team also sit in New York, Washington, D.C., Chicago, Silicon Valley and Dallas. Cyber Solutions is part of McKinsey Solutions and McKinsey's New Ventures.

Cyber Solutions helps leading companies improve digital resilience, identification and prioritization of key information assets, prepare for cyber breaches, and make informed build vs. buy' decisions when it comes to building cyber capabilities. Cyber Solutions' combination of software, tailored services, and expertise provides our clients with a granular view of their cyber and information risk and breach preparedness. Clients leverage our solutions to work with business leaders to have a material impact on their institutions' cybersecurity.

McKinsey New Ventures fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for –and expands our investment in –our entrepreneurial culture. Through innovative software as a service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.

What You'll Do

You will perform data transformation, modeling and validation activities for our core solutions: Digital Resilience Assessment (DRA), Cyber Risk Insights (CRI), Executive Cyber Simulation (ECS), and the Cyber Market Map (CMM).

You will work with delivery, client and internal McKinsey teams to get our solutions approved for use within the client environment. You will work remotely, but in close collaboration, with the Delivery and Product Management teams. You will participate in the continuous development and improvement of configuration tools, processes and talents.

You'll gather, validate raw data and transform the data using Excel, Alteryx or other tools and techniques. You'll perform quality checks on the data, and suggest changes to improve data quality. This role also require developing algorithms in Excel based on discussions with Delivery and Product Development teams to analyze data and generate results.

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