Vacancy title:
Workplace Analytics Engineer
Jobs at:
CanonicalDeadline of this Job:
Thursday, June 15 2023
Summary
Date Posted: Monday, June 05 2023, Base Salary: Not Disclosed
JOB DETAILS:
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 • 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 ">
Job Experience: No Requirements
Work Hours: 8
Experience in Months:
Level of Education: Bachelor Degree
Job application procedure
Click Here To Apply
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