Consultant - Operational Analysis/operational - Preston, United Kingdom - Datatech Analytics

Tom O´Connor

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Description

Description:

Consultant - Operational Analysis/Operational Research
£40,000 to £45,000 Negotiable Dependant on Experience (Bonus and Share Scheme)
Hybrid working/Lancashire offices
J12643


A leading global defence, security and Aerospace Company has an exciting new role for a Consultant in Operational Analysis/Operational Research.

They are seeking dynamic, analytically minded individuals to join their growing team of consultants as they build on their successes to increase their support to their key clients.


  • They require Consultants with the core skills to support the delivery successful projects across one or more of their core capabilities, which cover:


  • Operational Analysis

  • experience of evaluating and analysing military and business problems, using a variety of techniques.
  • Simulation and Modelling experience of simulation development and analysis, including requirement capture, model design, validation & verification, conducting analyses using toolsets such as Simul8 and presenting insights to customers
  • Data Insights experience across all aspects of data science; from data landing, wrangling and cleaning to statistical and geospatial analysis through to data visualisation using toolsets such as Tableau, Alteryx, Python and R
  • Strategic insights working with their customers to help them develop their future strategies, road maps and business cases
  • With your skills deployed in these areas, they are looking for people who can:
  • Naturally inquisitive and curious to solve problems
  • Work collaboratively in multiorganisational teams, and can adapt to new challenges and environments
  • Learn (or is already able) to lead small teams to deliver projects
  • Build networks and relationships across organisations
  • Communicating technical content to a nontechnical audience


Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data.


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