As the Head of Analytics & Data, you will own and run the Data & Analytics function day-to-day, working closely with the Director of Analytics & Data to translate strategy into delivery and help Catena Media harness the power of data for informed decision-making and strategic planning.   YOUR CHALLENGE: * Own day-to-day delivery of the Data & Analytics strategy - partnering with the Director to shape it, translating it into an actionable roadmap, and leading the multidisciplinary team and its prioritisation. * Collaborate with key stakeholders across Financial Analysis, Business Operations, Marketing, Product and Commercial to ensure the analytics you lead support business objectives. * Partner with wider tech to own the click-side tracking we control - campaign tagging taxonomy, sub-ID / tracking-token generation and propagation, server-side GTM and consent - ensuring our tracking token survives the handoff to the operator. * Partner with wider tech to own ingestion and integration of operator-reported conversion and revenue data arriving through mixed channels (S2S postbacks, affiliate-platform feeds, APIs and manual / CSV exports), normalising varied schemas, granularity and timing into one trusted model. * Build attribution that bridges click-side signals with delayed, operator-reported conversions, and own reconciliation against operator figures (FTDs, NDCs, NGR, commissions) as the revenue source of truth. * Model channel and deal performance across CPA, rev-share and hybrid arrangements - managing reporting latency between leading and confirmed figures - and translate it into recommendations that shift marketing investment. * Proactively surface insight that changes decisions, challenging assumptions with evidence and supporting experimentation / A-B testing rather than only servicing reporting requests. * Implement self-service reporting and Generative BI so business users can answer their own questions and define company-wide metrics with executives and stakeholders. * Oversee data architecture, models, lakes and warehouses; champion AI / ML and Generative AI use cases; and ensure data quality through documented remediation of discrepancies. * Head the selection of BI solutions and manage day-to-day vendor relationships, working with PMO on adoption and Information Security on data-related risk.     Leadership and team management responsibilities:   * Managing team performance effectively through the practicing of ongoing performance management, including conducting performance reviews and regular 1-1 meetings * Leading by example by delivering positive results and being a visible Catena ambassador * Communicating effectively and ensuring information is delivered in a clear and timely manner * Taking ownership of recruitment and selection for your team by working closely with HR and TA teams * Enabling team and individual growth from the induction stage to ongoing learning and development   TO DO IT, YOU WILL NEED: * 5+ years in analytics / BI, including 3+ years leading and developing teams at a senior level. * Strong grasp of the affiliate data model: conversion and revenue data is reported back by operators with delays, inconsistent ingestion methods and limited granularity - with demonstrable experience handling that integration and reconciliation challenge. * Solid understanding of digital marketing measurement: multi-channel attribution, campaign tracking and tagging, conversion tracking, and the limitations introduced by cookie deprecation, Consent Mode and ITP. * Proven experience leading BI / Analytics functions and delivering insight that changed business decisions - ideally quantified. * Hands-on technical depth - SQL and NoSQL databases, data visualisation (Power BI and/or Tableau) - and the appetite to stay close to the data (still able to write SQL, interrogate a model and sanity-check an attribution number). * Working knowledge of Python and web analytics tooling such as Google Tag Manager and Google Analytics. * Excellent communication: able to engage technical teams while articulating complex technical concepts clearly to non-technical and senior stakeholders, including at C-level. * Outstanding analytical and organisational skills, strong attention to detail and a problem-solving aptitude.