Research & Data Analyst

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. 

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.

The Research & Data Analyst plays a pivotal role within WPP Media's Data & Analytics team, responsible for the comprehensive analysis, processing, and automation of multiple available data sources. This includes leveraging a range of platforms and technologies, with a strong emphasis on integrating AI-based tools. This position serves as a critical support function, collaborating with internal stakeholders, external clients, and strategic partners to provide data-driven insights that inform and optimize various decision-making processes across the company and for WPP Media's clients.

Key Responsibilities

1. Data Analysis, Integration of Sources, and Contextualization:

• Conduct thorough data analysis, prioritizing the practical applicability and business impact of conclusions drawn from insights.

• Proactively identify, search for, and integrate diverse internal and external data sources to enrich interpretations and add significant value to analyses.

• Translate complex data findings into clear, concise, and actionable recommendations for both technical and non-technical audiences.

2. Contribution to WPP Media's Data & Analytics Offering:

• Actively contribute to the development and refinement of WPP Media's Data & Analytics presentations, proposals, and bespoke products.

• Cultivate and maintain strong working relationships with the company's data suppliers and, where necessary, clients, specifically within the data and automation sphere.

• Collaborate effectively with internal teams, responding promptly and accurately to media research requirements and contributing to their resolution.

3. Automation and Optimization of Data-Driven Processes:

• Design and develop innovative, automated data analysis formats and dashboards for reporting purposes, enhancing efficiency and scalability.

• Partner with client-facing colleagues to establish robust, periodic reports that effectively meet client needs while simultaneously minimizing manual effort through automation.

• Provide expert support and guidance across various departments to streamline data handling, storage, and processing workflows.

• Champion and contribute to the seamless integration of new and emerging data sources into existing workflows and analytical frameworks.

Desired Skills & Experience

Experience:

• Minimum of 3 years of professional experience in roles directly involving data manipulation, analysis, and interpretation.

• Previous experience within the media industry (media agencies, broadcasters, publishers, ad tech) is a significant advantage.

Knowledge, Skills, and Abilities:

• Knowledge of consumer and/or media audience analysis

• Knowledge of specialized media tools (e.g., Infosys+, SNA Focus / SATI Sesame, Masor, AdvantEdge/K2) is a plus

• Proficiency in automation tools (PowerBI, Google Looker Studio, etc.) is a plus

• English language proficiency (written and spoken) – advanced level

• Proficiency in MS Office suite – advanced level

• Attention to detail, ability to work in varying category/brand/marketing objective contexts, including strong prioritization skills

• Maximum openness to integrating AI into daily processes

• Open, communicative attitude, problem-solving orientation, rigor, promptness, good organization.

Professional Attributes:

• Exceptional attention to detail and a commitment to accuracy in all analytical outputs.

• Proven ability to adapt and thrive in varying category, brand, and marketing objective contexts, coupled with strong prioritization and time management skills.

• Demonstrated maximum openness and enthusiasm for integrating AI and machine learning techniques into daily analytical processes and solutions.

• An open, communicative, and collaborative attitude, coupled with a proactive problem-solving orientation.

• High level of rigor, promptness, and excellent organizational skills.

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