Workplace Analytics Engineer (Remote) at Canonical Nigeria

Canonical - We deliver open source to the world faster, more securely, and more cost-effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world's most productive developers. Secure and reliable, elegant and intuitive, and open for innovation - Ubuntu is the future of open source, which is why it's the fastest-growing Linux in the world despite already being the most widely deployed.

We are recruiting to fill the position below:

Job Title: Workplace Analytics Engineer

Location: Lagos (Remote)

The Role

• 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.
• 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

Requirements
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
• 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 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.

What we offer you

• Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills.
• In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation.
• Our compensation philosophy is to ensure equity right across our global workforce.  
• In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals.
• Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events.

Application Closing Date
Not Specified.