Business Challenge
The client was building out an analytics practice to support customer insights and merchandising decisions, needing a mix of Data Science, BI and visualisation skills under one new permanent team, inside a comparatively tight 5-month window for a from-scratch build.
Our Solution
We ran targeted recruitment across Data Science, BI and Visualization professionals as distinct tracks, rather than treating "analytics" as a single generic requisition, so each hire was matched against the specific tooling and reporting the merchandising team actually needed. Submission turnaround averaged 16 hours, keeping the Head of Data & Analytics's calendar consistently full through the build-out.
Our Approach
Data Science, BI and Visualization were sourced separately against their own tooling requirements instead of one blended "analytics" brief.
Each track's requirements were shaped by what the merchandising and customer-insights teams would actually use day to day, not a generic analytics job description.
A 16-hour average time-to-submit kept interview slates full throughout a tight 5-month build-out.
Clear scoping upfront on role and reporting line is what pushed offer acceptance to 95% by the time the team was fully seated.
Client Voice
“They understood that a BI hire and a data scientist are not the same conversation, most recruiters treat "analytics" as one bucket.”
— Head – Data & Analytics
The Outcome
The analytics practice launched with all three disciplines represented from week one, rather than the visualization or BI layer arriving months after the core data science hires, which is the more common pattern.
