Analytics Engineer

About WPP Production

We are WPP Production - the unified global production company that brings together all of WPP's content producers, studios and craft experts into one connected organisation. We combine world-class human craft with next generation technology to originate, design, and deliver multi-channel content systems at scale. Built for borderless collaboration and powered by deep craft expertise, we are the production engine designed for today's always on, AI driven marketing world.

About WPP

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. For more information, visit WPP.com.

As a Senior Data Analyst, you will play a critical role in delivering outstanding work for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts.

Key Responsibilities

Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming

• Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project.

• Analyse all datasets to ensure that each KPI is understood and can be explained back to the team.

• Ensure that all tables, charts and other information produced by you, or others has been checked for accuracy and formatted to GT standards before passing on to senior project team.

• Be responsible for data collection including preparation and sending of data requests, chasing outstanding data and querying data with clients and agencies.

• Ensure that ROVA input file is structured to meet requirements of project (e.g. order and number of variables, exclusion of unnecessary variables).

• Ensure that all outputs are checked for accuracy by analysts; record any checks made.

• Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools / approaches.

Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation

• Building of base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables entered, understanding coefficients and SFX.

• Taking base models, oversee or build in additional improvements and progress the model towards finalisation.

• Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary findings and observations

• Create sales effect/ ROI workbook, ensure it is easy to follow and all links are correct.

• Create response curves and optimisation spreadsheets or alternatively use available tools for budget allocation. Run scenarios required to answer client objectives.

• Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.

Interpretation of results: result interpretation and rationale, recommendations, translation of results from analytics into actionable recommendations

• Provide input into the results and implications and comment on the interpretation for future strategies.

• Interpret results and understand the implications of these results to the client. Be able to explain your interpretation to the team and defend your POV

• Be able to explain and justify any potential changes that need to be made to provide sensible results. Especially important when reviewing others’ outputs that you are overseeing.

Requirements

• 2 to 4 years experience and background in similar field. Focus is data and analytics with econometrics.

• You are highly proficient with technology, software and can demonstrate quick grasp of programming languages.

• You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.)

• You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions.

• You interact with colleagues and with our clients in a way that strengthens our culture of inclusivity, diversity, care, growth and recognition.

• You have an interest in using data and analytics to make better decisions.

• You are tenacious, hardworking, curious and have a strong ability to communicate.

• You demonstrate a positive desire and strong aptitude for making data informed decisions.

• You can demonstrate good problem-solving skills and understanding of consumer behaviour.

• You have the capacity to work and learn quickly in a fast-paced environment.

• You take keen interest in your own learning and development.

Key Characteristics

A successful candidate must be able to demonstrate evidence of a high degree curiosity and investigation into why things work in a particular way. This might include desk research on a particular topic or deep focus on a recent client assignment. If selected for interview, candidate must be prepared to talk on a particular topic within the realms of analytics or business questions that we typically answer that they are passionate about. Examples might be “Why is my base my base?”, “What is the long-term effect of my marketing and why?”, “Dealing with uncertainty and building in foresight”, etc

Soft Skills

• It would be of an advantage for the candidate to have experience of working/ communicating with international clients/stakeholders directly and they must have strong verbal and written communication skills in English.

• Strong organisational skills with the ability to prioritise and manage workload independently

• Open, collaborative communicator who actively supports teammates

• Self-motivated with a proactive approach to developing creative and technical skills

• Comfortable working in a fast-paced, deadline-driven environment

This is an onsite role, and candidates should be comfortable working across different shifts as needed.

Why work here: At WPP Production, you’ll help shape the future of content production at a truly global scale. We bring together world-class talent, cutting-edge studios, and advanced technology to solve some of the most complex creative and production challenges in the industry. You’ll work in a collaborative, borderless environment where craft excellence is valued, innovation is encouraged, and AI and next-generation tools are used to amplify not replace human creativity. With access to diverse projects, global career opportunities, and the backing of WPP’s unmatched network, this is a place where you can grow your skills, make real impact, and create work that performs for every audience, across every channel, at every moment.

Inclusion and Impact WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Data We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to WPP Production. Before you do this, we think it's a good idea to read through our Privacy statement. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Please contact careers@wppproduction.com if you need the job advert or form in another format.