Marketing Ai & Analytics Lead

Full-Time

esMarketing Analytics & Measureme

• ntOwn marketing performance measurement across multiple business units and customer journey
• s.Develop and maintain a Single Source of Truth (SSOT) for marketing reportin
• g.Track and analyse acquisition, retention, engagement, CAC, LTV, conversion funnels, and campaign performanc
• e.Build and maintain executive dashboards and reporting framework
• s.Ensure data consistency across CRM systems, attribution platforms, advertising platforms, and internal database
• s.Automate recurring reporting and insight generation wherever possibl
• e.Deliver actionable recommendations that improve marketing efficiency and business outcome
• s.Attribution & Tracki
• ngDesign and manage attribution frameworks across web and mobile channel
• s.Oversee implementation and validation of event tracking, tagging, and measurement architectur
• e.Ensure strong governance around UTMs, event taxonomies, and campaign trackin
• g.Identify and resolve discrepancies across measurement platform
• s.Partner with Product and Engineering teams to improve data quality and tracking infrastructur

e.AI Transformation & Enableme

• ntIdentify high-impact opportunities for AI-driven workflow transformatio
• n.Build AI tools, agents, automations, and internal solutions that improve productivit
• y.Help marketers integrate AI into their daily workflow
• s.Develop scalable solutions that can be adopted across multiple team
• s.Drive adoption of AI across campaign execution, reporting, content production, landing pages, and operational processe
• s.Support the organisation's transition towards increasingly autonomous and agentic workflow
• s.

What Success Looks L

• ikeA trusted, centralised marketing reporting framework is establish
• ed.Marketing attribution accuracy significantly improv
• es.Reporting for leadership becomes highly automat
• ed.Marketing teams actively use AI tools in their day-to-day wo
• rk.Data-driven recommendations contribute to measurable improvements in CAC and marketing efficien
• cy.AI adoption becomes embedded within the marketing operating mod
• el.

Requirem

• entsEssential Experi
• ence4–7+ years of experience in Marketing Analytics, Business Intelligence, Performance Marketing Analytics, MIS, or a related AI/automation r
• ole.Hands-on experience building AI-powered tools, agents, workflows, or automations that drive measurable business imp
• act.Strong experience with BI and reporting tools such as Looker Studio, Power BI, Tableau, or simi
• lar.Advanced Excel and/or Google Sheets ski
• lls.

Experience

• working with attribution and measurement platforms, CRM systems, and digital advertising platfo
• rms.Strong analytical and problem-solving ski
• lls.Comfortable working with ambiguity, incomplete datasets, and fast-moving environme
• nts.Preferred Experi
• enceAttribution modelling, funnel analysis, cohort analysis, CAC, LTV, and incrementality test
• ing.API integrations, webhooks, or automated data pipeli
• nes.

Experience

• within high-growth technology businesses, fintech, proptech, marketplaces, or digital-first organisati
• ons.Understanding of marketing workflows and operational challen
• ges.

Ideal Cand

• idateBuilder and operator rather than strategist a
• lone.Comfortable creating working solutions and prototypes qui
• ckly.Strong commercial mindset with the ability to connect insights to business outc
• omes.AI-native and experienced in applying AI to real-world business prob
• lems.Thrives in fast-paced, evolving environments with multiple stakeholders and competing priori
• ties.