Responsibilities

• Assist in collecting, processing, and analysing marketing datasets to support data-driven decision-making for client engagements, including campaign performance analysis, customer segmentation, and attribution modelling.
• Support the development and optimisation of agentic AI workflows for marketing use cases, including personalised content generation, audience segmentation, predictive lead scoring, and real-time campaign analytics.
• Learn to identify opportunities where AI agents can automate and enhance marketing analytics processes, contributing to recommendations for intelligent automation and efficiency improvements.
• Actively participate in client discovery workshops, helping to understand client data landscapes, marketing technology stacks, and analytics requirements — acting as a supportive analytical resource during discovery and implementation phases.
• Help translate complex data findings and AI-driven insights into clear, accessible narratives and visualisations for business stakeholders, developing skills in presenting to both technical and non-technical audiences.
• Support the development of measurement frameworks and dashboards that track the impact of marketing investments, AI initiatives, and data-driven campaigns.
• Stay informed about emerging trends in agentic AI, marketing analytics, customer data platforms (CDPs), and data engineering, contributing to internal knowledge sharing and our community of practice.

Requirements

• A foundational understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation, attribution, funnel analysis, and campaign performance measurement.
• Basic proficiency in SQL and/or programming languages such as Python or R, with a strong motivation to develop deeper data engineering and analytics skills.
• Familiarity with data visualisation tools such as Tableau, Power BI, or Looker, with developing ability to create clear, insightful analytical outputs.
• An interest in AI and agentic technologies, including Large Language Models (LLMs), AI agent frameworks, and their application to marketing automation and personalisation.
• A drive to earn relevant certifications in AI technologies such as Google AI Professional Certificate or AWS Certified AI Practitioner - or equivalent AI qualifications
• Developing presentation and communication skills, with the ability to help explain complex data findings to diverse audiences.
• A drive to earn relevant certifications such as Salesforce Data Cloud Consultant or Google Analytics — or equivalent data and analytics qualifications.
• Exposure to or an interest in customer data platforms (CDPs) such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable).
• Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable).
• Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable).

Preferred

• Exposure to or an interest in customer data platforms (CDPs) such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable).
• Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable).
• Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable).