Talent Acquisition Analytics and Automation Lead at Canonical Nigeria

Canonical is a British tech firm that is well-known as an open source leader, driving the growth of enterprise cloud and IoT and underpinning innovation from startups and major players alike. We are seeking a software and data science-oriented individual to focus on development and innovation of our recruitment tools. This is a unique opportunity to blend your analytics and recruitment platform skill sets.

We attract an enormous number of applications from around the world, and so we depend on technology and process to ensure we select the very best. As a remote-first organization, we enable people to work from wherever they want, but participate in cutting edge technology leadership, growth and innovation. We are constantly refining our hiring processes to assess our global talent fairly and efficiently.

We are recruiting to fill the position below:

Job Title: Talent Acquisition Analytics and Automation Lead

Location: Lagos

Job Descriptions

• In this role, we are looking for someone with a background in data analytics, data modeling, and workflow automation.
• The successful candidate will leverage their background in mathematics and software engineering to optimize  recruitment processes and  evolve our Greenhouse based Application Tracking System (ATS), through configurations and integrations.
• We will prefer candidates that have outstanding academic results and those with analytics or software skills, because we have a particular focus on data and software-defined automation. 
• Essential to this role, you will bring an in-depth technical knowledge of our Greenhouse platform with a solid appreciation and understanding of how this impacts a hiring and Talent Acquisition strategy.
• You will also have experience of working with other third party hiring tools i.e. LinkedIn, testing tools and assessment platforms etc.
• This is a rare opportunity to join a high growth organization where the science behind hiring forms the basis of our process and the hiring decisions we make, and an integral part of the Talent Acquisition function.

The Role
We are looking for an experienced Talent Acquisition Analytics and Automation Lead to: 

• Own our applicant tracking system, Greenhouse, leveraging automation, process improvement and product development to enable our talent attraction strategy.
• Bring code-centric solutions (preferably in Python) complex challenges where official automation does not exist.
• Lead and develop our data driven reporting capability to allow us insights and metrics to make the best hiring decisions as we scale as a business.
• Drive partnerships and account management for Greenhouse and across other selection and assessment platforms (LinkedIn, DevSkiller, ClassMarker, Thomas International, Stack Overflow etc).
• Be responsible for how we organize and manage our data, to ensure that we are compliant with relevant data privacy and data protection policies and regulations.
• Own the relationship with Financial Planning & Analysis ensuring that commercials align to the hiring plan.
• Bring a passion for best practice in Talent Acquisition helping to connect our technology to our hiring strategy. 

What you bring to the role

• A Degree in a Technology field, or, significant experience in managing and leading technologies in the talent attraction space. 
• Excellent ‘back end’ understanding of Greenhouse, or similar ATS platform, with considerable hands-on working knowledge of implementations and configurations.
• Experienced working in a data driven role, with excellent coding/scripting skills (ex., Python) as well as strong understanding of data visualization techniques.
• Great project management and account management skills with the ability to drive critical workflows to deliver real value to the business.
• Experience of working with other recruitment platforms i.e. LinkedIn, that integrates via Greenhouse, with a deep understanding of how these connect to enable ROI.
• Passionate about building a great employer brand and candidate experience.
• Excellent verbal and written English.

Application Closing Date
Not Specified.