Remote Talent Analytics Manager

Summary

The job is for a Talent Science team lead at Canonical, a remote-first tech company. The role involves leading a team of data-driven behavioral experts, driving analytics projects, building relationships with stakeholders, and conducting in-depth behavioral talent interviews. A degree in psychology/industrial psychology or equivalent experience is required, along with strong analytical skills, management experience, and expertise in R or Python, SQL, and BI dashboards.

Requirements

• 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 and challenge the status quo
• Experience of successful configuration of hiring tools that enable the selection process

Responsibilities

• Lead a team of data-driven behavioral experts
• Drive analytics projects that bring deep insight and understanding to how we select talent
• Build key relationships with global Hiring Leadership stakeholders
• Be seen as a thought leader on talent initiatives
• Conduct in-depth behavioral talent interviews providing considerable insights into motivations and behaviors 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

Preferred Qualifications

• 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

Benefits

• 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