Director, Talent Analytics

Home based - EMEAonsitedirector

via Greenhouse

See if I'm a fit →Tailor my resume for this role →Apply on Greenhouse ↗

About this role

Our Talent Science team ensures that we follow an objective, scientifically rigorous and efficient process to select the very best new colleagues regardless of location, culture or background. With a data centric approach, we examine hiring data to create talent analytics and business intelligence to fuel our decision making on hiring. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process. Working closely with our Hiring Leadership team, who ultimately lead on hiring, our team ensures that hiring decisions are being made in the right way and that our hiring model supports the selection of world class talent. We are looking for a set of leaders to support our team growth and to help drive our strategic objective outcomes.…

Read the full description on Canonical's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, r, superset, greenhouse

Level fit

This role is director-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Home based - EMEA. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonrsupersetgreenhouse

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