Overview

Canonical, 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.

Job Position: Talent Analytics Manager

Job Location: EMEA, Remote

Job Description

  • 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.

Job Responsibilities

In this role you will:

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

Job Requirements

  1. 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.
  2. Strong analytical mindset with solid evidence of driving analytical projects and storytelling through data to drive change ideally from in the Technology space.
  3. Skilled in R or Python, SQL and building BI dashboards.
  4. Exceptional management experience, leading analytical mindsets and projects that drive efficiency and deliver results.
  5. 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.
  6. Good exposure to key talent topics: competency based interviews, psychometric assessments, employer branding, candidate experience, DEI.
  7. Proven ability of working with senior stakeholders to drive a professional outlook on hiring talent  as well as challenge the status quo.
  8. Experience of successful configuration of hiring tools that enable the selection process.
  9. Willingness to travel up to 2-4 times a year for internal events.

Other skills you may bring

  1. Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
  2. Experience on building data dashboards.
  3. 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.

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

How to Apply
Interested and qualified candidates should:
Click here to apply online

Tagged as: Administrative, Human Resources

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