People Data Analyst
Posted on :
15-03-2024
Employer Active
1 Vacancy
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Job Description
Req ID : 2629165
The role of a People Data Analyst at Canonical
Support 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.
Location: This role will be based remotely in the EMEA region.
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, visualizations 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
- Background in data science, mathematics, actuarial science, or engineering
- First 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 visualization (Looker Studio, Tableau, etc)
- Ability to translate business questions to key research objectives
- Ability to identify the best methodology to execute research, synthesize and analyse findings
- Excellent writing and communication skills
- Willingness to examine the status quo and resilient in the face of challenges
Employment Type
Full Time
Company Industry
Department / Functional Area
Key Skills
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