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Manager, Data Analytics

Arieli & Company

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Posted over 30 days ago...

Expired

This role is perfect for someone with a passion for people-focused data who wants to use their data analytics expertise to make a meaningful contribution to client projects.

Overview

icon Salary

£70000 - £90000

icon Location

Hybrid: London/Remote

icon Expires

Expires at anytime

This role is perfect for someone with a passion for people-focused data who wants to use their data analytics expertise to make a meaningful contribution to client projects. The Manager will work with client-focused consulting teams and act as a data expert. They will support consultants to translate data into meaningful insights for clients. The Manager will need to be able to independently scope and deliver work in collaboration with a team of consultants. This is a great opportunity for someone who wants to be part of a growing, innovative leadership consultancy prioritizing data at its core.

REQUIRED SKILLS & EXPERIENCE

  • A minimum of 4 years’ experience in applied data science
  • Degree in psychology, behavioural science, statistics, or a related field
  • Understanding of psychometric assessment
  • Strong knowledge and experience with Tableau and Excel
  • Comfort with qualitative and quantitative analysis methods
  • Able to translate technical and complex data topics into concise and accessible insights
  • Ideal: Experience in a professional services firm
  • Ideal: Experience with and understanding of the People/HR function at corporates

KEY RESPONSBILITIES

  • Act as a data expert during client engagements
  • Analyze data and deliver insights to support client projects
  • Develop expertise in Arieli & Company’s major measurement tools and software
  • Build out Arieli & Company’s analytical capabilities
  • Demonstrate and quantify ROI for every client engagement, including supporting colleagues to ensure projects are set up successfully for this purpose
  • Gather data on industry trends in order to support business development
  • Use expertise in data to support project setup and scoping, and project design

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