Talent Analytics Manager

Canonical (View all Jobs)

Home based - EMEA

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Interview Process

1. Review your open source contributions at shortlist stage. 2. 4x60m interviews over Hangouts, each of which is carried out blind (none of the interviewers talk to each other until the final review). The company is fully remote, so there is no on-site.

Programming Languages Mentioned

SQL, R, Python

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires. 

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent, regardless of location, culture or background. 

This position will report directly to the Global Head of Talent Science. You will lead and drive advanced analytical projects, bringing R or Python, SQL and the ability to build BI dashboards. You will lead a team of experienced behavioural talent scientists using strong project management skills to deliver robust data driven projects. We are looking for someone who can bring a professional viewpoint on how an organisation should select talent with the ability to inspire and influence our senior leaders across the business.

Location: EMEA - Home based

What your day will look like

In this role you will:

  • Lead a team of data driven behavioural experts, responsible for ensuring that our leadership teams are selecting  game changing talent for our organisation.
  • Drive analytics projects that bring deep insight and understanding to how we select talent, based on examining performance indicators and outcomes.
  • Build key relationships with global Hiring Leadership stakeholders to drive our hiring agenda.
  • Be seen as a thought leader on talent initiatives with an inherent belief that past performance predicts future success.
  • Conduct in-depth behavioral talent interviews providing considerable insights into motivations and behaviours of talent.
  • Review our assessment effectiveness to drive continuous improvement.
  • Ensure our Employer branding and DEI initiatives support and drive an inclusive environment for our people.

What we are looking for in you

  • An undergraduate or postgraduate degree in psychology/industrial psychology, or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
  • Strong analytical mindset with solid evidence of driving analytical projects and storytelling through data to drive change ideally from in the Technology space.
  • Skilled in R or Python, SQL and building BI dashboards.
  • Exceptional management experience, leading analytical mindsets and projects that drive efficiency and deliver results. 
  • A thought leader in the talent space with the ability to influence best practice, bringing a solid point of how to build a high performance organisation.
  • Good exposure to key talent topics: competency based interviews, psychometric assessments, employer branding, candidate experience, DEI.
  • Proven ability of working with senior stakeholders to drive a professional outlook on hiring talent  as well as challenge the status quo.
  • Experience of successful configuration of hiring tools that enable the selection process.
  • Willingness to travel up to 2-4 times a year for internal events.

Other skills you may bring

  • Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
  • Experience on building data dashboards.
  • Exposure to the following tools: Jira, LinkedIn Talent Insights, Greenhouse, DISC profiling.

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.


Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄

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