People Analytics Specialist, Digital Workplace Engineering at Canonical

Role summary

Lead analytics and data mining in a cross-disciplinary team of organisational psychologists, web front end engineers, back end engineers and statistics / analytics experts to help us build a new definition for the 21st century digital workplace. Collaborate to figure out what *really* drives productivity, effectiveness and happiness in a remote-first globally distributed company.
In addition to your existing people analytics work experience this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.

Key responsibilities

You will…

• Focus on quantitative and qualitative data analytics to find insights
• Design and conduct research into trends shaping remote work
• Utilise data to understand productivity across a global, remote first, organisation
• Collaborate with engineering teams to improve the data and tool ecosystem supporting our digital workplace
• Stay up to date on latest research (trends, topical issues, academic research)
• Tell the story of Canonical’s workplace and help shape our employment brand

Required Skills And Experience

• BA/BSc or Masters degree in data science, mathematics, engineering or social sciences
• Demonstrable work experience in People Analytics
• Knowledge in advanced statistics, data sciences, coding languages (e.g., Python, R)
• Strength in data analytics and visualisation (eg Tableau)
• Ability to translate business questions to key research objectives
• Ability to identify the best methodology to execute research, synthesise and analyse findings
• Excellent writing and communication skills
• Willingness to examine the status quo and resilient in the face of challenges