Workplace Analytics Engineer at Canonical

What your day will look like

• Utilise advanced data analytics to understand how we hire and how we work (productivity, happiness and effectiveness) across a global, remote first organisation
• Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
• Tell the story from the insights through dashboards, visualisations and presentations
• Design and conduct research into trends shaping talent science and remote work
• Collaborate with stakeholder teams (ex., engineering, information systems, etc) to improve the data and tool ecosystem supporting our digital workplace

What we are looking for in you

• An exceptional academic track record with a BA/BSc or Masters degree in data science, mathematics, actuarial science, or engineering
• Demonstrable work experience in People Analytics
• Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, R, etc), and databases (SQL, etc)
• Strength in data analytics and visualisation (Looker Studio, Tableau, etc)
• 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