Why us for Data & Analytics
Data and analytics programmes stall when the platform depth isn't in the room.
Every Snowflake migration, every dbt-driven analytics platform, every warehouse consolidation shares the same failure mode: the outcome depends on the depth of the specialist in the room. Recruiters place tool names. We place implementation track records.
Our contractor bench is assessed by specialists who have built data platforms at enterprise scale. We screen for the specific operating context, whether that is high-throughput pipelines, regulated data domains, a semantic layer several hundred models deep, or a migration running against a live reporting estate.
72%
of employers can't find the skilled talent they need, with AI, IT and data roles now the hardest to fill.
ManpowerGroup Talent Shortage Survey, 2026