DATA ANALYST
Role details
Job location
Tech stack
Job description
define strategic business questions and translating them into robust analytical frameworks and data roadmaps. Supporting or leading the data-stream on complex, large-scale projects with globally recognised brands, ensuring that data solutions and integrations are designed and delivered for scalability and business impact. Driving ongoing proactive client ideation - identifying new opportunities, use cases, and data-driven initiatives that help clients grow their business. Helping drive agentic AI adoption, exploring and embedding agentic solutions into our data and insights workflows to enhance efficiency and client value. Providing answers and insights to business-related questions via automated reporting solutions as well as ad-hoc data analyses, including building reports and insights dashboards within marketing platforms such as Adobe and Salesforce. Mentoring, reviewing, and advising less senior team members - elevating quality, fostering technical excellence, and supporting their
Requirements
professional growth. Collaborating with highly skilled specialists including Account Managers, Architects, Developers, Creatives, Strategists, Data Scientists and Marketing Operations experts to service our clients coherently. Technical Skills A minimum of 5 years of experience in a consultant/business liaison role related to data, BI, analytics or reporting solutions. Write, debug, and optimise complex SQL queries, ensuring clarity, efficiency, and production readiness. Design and build scalable dimensional data models from raw source systems (fact/dimension structures, performance-aware design). Apply strong data modelling principles, governance standards and practices that ensure data accuracy, consistency, and security. Develop and manage DBT transformations using layered architecture, including testing and documentation best practices. Build production-ready Power BI semantic models and dashboards, including advanced DAX measures, performance optimisation, and secure data access (RLS). Work collaboratively using GitHub, following structured branching, pull request, and code review workflows. Familiarity with or a strong interest in the application of AI and agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). A proven ability to build trust and act as a strategic partner to senior-level clients and internal leaders. Exceptional written and verbal communication skills in English, with the ability to articulate complex data concepts and insights into clear, compelling narratives for both technical and senior business audiences. The ability to critically assess complex business challenges, ask probing questions to uncover root causes, and propose robust, data-driven solutions. Proven experience in coaching and mentoring junior team members.