Workplace Analytics Engineer (Remote) at Canonical Nigeria Remote

Job Title: Workplace Analytics Engineer

Location: Remote

Job Description

• Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace.
• We are interested in technology, of course, but we are also interested in the human mission of enabling the world’s brightest and hardest working people to live where they want and work from anywhere.
• Most of our colleagues could move to a tech hub but they choose Canonical because of our mission and our approach to the workplace.
• We’d like to understand what really makes a distributed, remote-first workplace work. We think we’re pretty good at this (being remote first for almost 20 years), but we know there is a lot still to understand, and the frontier of possibility continues to move outward.
• We’d like to invest in research, analytics and tooling which raises the bar even further for remote collaboration and organisation.
• If we are able to build tools that meaningfully improve our cooperation and our satisfaction, then we intend to share our insights with the world, both as a narrative and as SAAS or open source that helps other companies follow in our footsteps.

The role of a Workplace Analytics Engineer 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 AMER region. All applicants applying must be legally authorized to work in the United States, as we cannot offer visa sponsorship for this job opening.

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.

Job Requirements
What we are looking for in you:

• An exceptional academic track record with a BA / B.Sc or Master’s 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 challenge.

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.