Statistical Analyst and Client Adviser

Full time

About EDGE Strategy

EDGE Strategy is a dynamic, global and mission-driven organization, committed to foster gender-balanced, inclusive and diverse workplaces through EDGE Certification.

EDGE Certification is the world’s leading standard for workplace equality and has been designed to help companies transform their workforce by measuring, accelerating and certifying gender and intersectional equality. It is distinguished by its rigor and focus on business impact.

EDGE Strategy’s customer base consists of large organizations in 44 different countries across 5 continents and 29 different industries. Organizations that are certified include IKEA, L’Oréal, UNICEF, Dow, the World Bank, the European Central Bank, IFF, Firmenich, Zurich Financial Services and Pictet, among many others.

For more information about EDGE Certification:


About the role

The person in this role will be part of the client advisory team and will be focusing on developing and continuously improving our workforce analytics capabilities and tools.



  • Maintaining our analytical tools at competitive market practice level and developing innovative analytical tools and solutions to drive organizational growth
  • Identify new approaches to workforce analytics and work closely and collaboratively as part of the client services team to implement impactful analytical solutions
  • Perform a variety of quantitative analyses
  • Collaborate on interpretation and presentation of client information and client reports
  • Creating statistical reports and data visualizations and using them to present findings to decision-makers and stakeholders.


Key measurements of success

  • Efficient, accurate and high-quality project delivery
  • Capacity to translate complex data into meaningful information
  • Ability to lead data analytics and connect to informing business strategies
  • Innovation rate

Required Skills and Experience

  • Higher university degree, in mathematics, statistics or quantitative methods would be desired
  • Extensive knowledge of VBA and R programming languages, other programming languages would be a plus
  • Ability to manage numerical workforce data
  • Ability to code macros to run statistical analyses
  • Ability to perform statistical analyses, including linear regression analyses and create projection models
  • Ability to format and present results, including clear interpretations and charts
  • Ability to manage time and resources, work independently, and pay attention to detail
  • Fluency in English, additional languages, notably German, would be a plus


Required Characteristics

  • Exceptional attention to detail, precision and accuracy
  • Entrepreneurial spirit, team player, ‘can-do’ attitude, and willingness to go the extra mile
  • The desire to work in a fast-paced environment
  • Flexibility and adaptability to the demands of each situation
  • Strong problem-solving skills
  • Have an interest in ESG-related topics




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