At a Glance
- Tasks: Support senior colleagues in delivering client projects and oversee data analysis.
- Company: Gain Theory, part of WPP, a leader in media intelligence and data solutions.
- Benefits: Competitive salary, professional development, and opportunities to work with top brands.
- Other info: Join a dynamic team with excellent career growth and training opportunities.
- Why this job: Make an impact by leading analysts and shaping data-driven strategies for global brands.
- Qualifications: Experience in data analysis, model building, and proficiency in tools like Excel and SQL.
The predicted salary is between 63000 - 77000 £ per year.
About WPP Gain Theory is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.
The opportunity: You will support senior colleagues in achieving the efficient delivery of client projects. Typical responsibilities and duties are the collection and preparation of data, contributing to the finalisation of models, writing results and implications and SFX creation.
Your role as Principal Analyst is to take responsibility for and oversee other analysts. You will also be expected to support the development of analysts through the Training Academy, Knowledge Shares and feedback. Principal Analysts should develop relationships with their counterparts client side and be able to communicate Gain Theory approaches and brand beliefs.
What you'll be doing:
- 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 files are 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 data extraction tools (i.e. Advantage, AdDynamix, Sysomos, Google Trends, Google Analytics, Double Click) and able to teach others in their use. Be aware of alternatives and the PROs / CONs of the tool. 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. Oversee the building of comprehensive 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 finalization. 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.
- Creation of presentations: Content creation, summary of findings, accuracy checks.
Principal Analyst (MMM) employer: Gaintheory
WPP is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Principal Analysts to thrive. With access to cutting-edge tools and a commitment to employee development through the Training Academy and Knowledge Shares, team members are empowered to grow their skills while contributing to impactful projects for leading global brands. Located in a dynamic environment, WPP offers unique opportunities for professional advancement and meaningful engagement with clients.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Analyst (MMM)
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We think you need these skills to ace Principal Analyst (MMM)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gaintheory, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gaintheory. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gaintheory
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gaintheory!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
