Senior Analyst - Senior Consultant, Data & Analytics - Agentic Marketing, Deloitte Digital

In this role you help clients unlock marketing value through data, AI, and automation. You will operate at the crossroads of marketing analytics, data strategy, and agentic AI to understand customers, measure effectiveness, and drive automated analytics at scale. You’ll work with cross‑functional teams and leading brands to design workflows, visualise insights, and shape data‑driven decisions. This is an opportunity to build hands‑on expertise across data analysis, AI workflow design, and marketing analytics within a collaborative Deloitte environment. You contribute to client outcomes with practical, measurable impact while advancing your own skills in a supportive culture.

• hybrid working
• career development and world‑class development
• wellbeing and supportive culture
• return‑to‑work coaching
• flexible work arrangements
• inclusive environment

• Assist in collecting, processing, and analysing marketing datasets to support data‑driven decision‑making for client engagements (campaign performance, segmentation, attribution)
• Support development and optimisation of agentic AI workflows for marketing use cases (personalised content, audience segmentation, predictive scoring, real‑time analytics)
• Identify opportunities for AI agents to automate and enhance analytics processes, contributing to automation recommendations
• Participate in client discovery workshops to understand data landscapes, tech stacks, and analytics requirements
• Translate complex data findings into clear narratives and visualisations for technical and non‑technical audiences
• Develop measurement frameworks and dashboards tracking marketing investments, AI initiatives, and data‑driven campaigns
• Stay informed about trends in agentic AI, marketing analytics, CDPs, and data engineering, sharing knowledge internally

• Foundational understanding of data analysis and marketing analytics concepts (segmentation, attribution, funnel analysis, campaign measurement)
• Basic proficiency in SQL and/or Python or R, with motivation to deepen analytics skills
• Familiarity with data visualisation tools (Tableau, Power BI, Looker) and ability to produce insightful outputs
• Interest in AI and agentic technologies (LLMs, agent frameworks) for marketing automation and personalisation
• Drive to obtain AI certifications (Google AI Professional Certificate or AWS Certified AI Practitioner) or equivalent
• Developing presentation and communication skills to explain complex data findings to diverse audiences
• Drive to earn data/analytics certifications (Salesforce Data Cloud Consultant or Google Analytics) or equivalent
• Exposure to or interest in CDPs (Salesforce Data Cloud, Adobe Experience Platform)
• Familiarity with cloud data warehouses/datalakes (Snowflake, Databricks, Google BigQuery)
• Understanding of marketing measurement methods (MMM, MTA)
• Confidence using AI tools and LLMs in day‑to‑day work

• Communication
• Curiosity
• Initiative
• SQL
• Python or R
• Tableau