Vacancy title:
People Analytics Specialist, Digital Workplace Engineering
Jobs at:
CanonicalDeadline of this Job:
06 May 2022
Summary
Date Posted: Friday, April 22, 2022 , Base Salary: Not Disclosed
JOB DETAILS:
Lead analytics and data mining in a cross-disciplinary team of organizational 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, organization
• 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
Education Requirement: No Requirements
Job Experience: No Requirements
Work Hours: 8
Job application procedure
Interested candidates should click here to apply
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