Senior, Data Analytics

  • 35003
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Mar 29, 2019
Consulting
RESPONSIBILITIES
  • Work with major corporate and private equity clients, government departments and other public-sector bodies, advising them on complex strategic corporate transaction activities and commercial, financial and operational decisions.
  • Managing multiple stakeholders and high degrees of complexity and uncertainty. Decision making in this environment requires strong client management and communication skills, in addition to rigorous analytical techniques and excellent data handling skills.
  • - Constructing purpose built databases storing large client datasets for analytical models, using data transformation tools, visualization tools, programming and statistical tools, to derive insight through data modelling and simulations, in a fast-moving transaction decision-making environment.
QUALIFICATIONS
  • Qualification in Computer Science, Operational Research, Statistics, Mathematics, Engineering or actuarial science.
  • Experience working with large datasets.
  • Experience in applying analytical techniques, to calculate problems such as predictive forecasting, prescriptive action, capacity planning.
  • Experience in building models in R, and Python programming languages and libraries.
  • Visually creative, with a good understanding of UX aesthetics.
  • Highly numerate with a strong technical knowledge and experience of applying analytical and modelling techniques to provide insights to business issues.
  • Ability to work with clients and model users, identify their particular use case requirements, design appropriate solutions to load data, perform complex calculations, derive corollaries and deliver interface tools to provide repeatable visual output.
  • Strong oral and written communication skills.
  • Strong interpersonal skills and previous experience of working within a similar team.
  • Experience of working with visualization tools including Tableau, Tibco Spotfire, Shiny, Power BI and QlikView.
  • Experience in SQL Server, MS Excel and VBA.
  • Experience of working in a professional services environment, including exposure to high profile transactions.
  • Experience of financial reporting, and an understanding of basic corporate finance and accounting concepts.