• Level 4-7 (Higher)
  • London

Morgan Stanley

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. With offices in more than 41 countries, Morgan Stanley is dedicated to providing our clients the finest thinking, products and services to help them achieve even the most challenging goals. For further information about Morgan Stanley, please visit www.morganstanley.com.

A typical day

  • Application deadline: 6th April
  • Start date: September 2020
  • This role will primarily focus on HR Data Analytics and reporting. This will include understanding the processes undertaken by the HR Workforce Analytics team. A typical day would include activities such as:
  • Understand data needs and utilize MS systems to complete reports
  • Liaise with broader team to capture analytics requirements and identify analytical solutions to meet the need
  • Improve and review existing reporting capabilities and processes to adapt to new requirements
  • Maintain relationship with HR Business Partners and functional teams to ensure their data needs are met
  • Work with global Workforce Analytics team on large scale global projects

You must have

  • Five GCSE grades C – A* (4-9) or equivalent, including English and Maths
  • Three A levels at grades A*-C (or 240 UCAS points or new tariff equivalent)

Skills needed

Communication
Initiative
Problem solving

Data oriented with strong attention to detail
High-level of initiative & self-motivation
Thorough attention to detail with high levels of accuracy
Team player & able to work under pressure
Highly organised
Strong ability to multi-task & handle working in a fast-paced environment
Results oriented, driven & eager to succeed
Ability to build and maintain relationships within HR & broader client base
Strong presentation & communication skills
Passionate about delivering excellent service to clients
Ability to manage projects, daily responsibilities & ensure accurate production of analytics

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