DATA ANALYST

Wpp
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Google BigQuery
Code Review
Data Security
Data Structures
Data Systems
Data Warehousing
Software Debugging
Github
Machine Learning
Performance Tuning
Salesforce
Freeform SQL
Adobe Campaign
Snowflake
Build Management
Adobe
Data Analytics
Tools for Reporting
Databricks

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.

About the company

WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. Responsibilities Architecting, building, and delivering value-adding insights solutions, serving as a key advisor to clients on how to leverage their data assets to optimize large-scale communication strategies. Performing advanced analysis to uncover actionable patterns, trends, and opportunities that directly inform client strategy and decision-making. Designing and running test-and-learn programs (A/B tests, incrementality, holdouts) across channels to measure impact and continuously optimize communication performance. Partnering with senior stakeholders to

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