Senior Analyst (Marketing Mix Modelling) Data & Analytics London, England, United Kingdom

Senior Analyst - Modelling Specialist

Who we are & what we do:

Gain Theory is a leading global marketing effectiveness and foresight consultancy. We combine quality data, proprietary technology, and advanced analytics to give our clients the confidence to make better informed investment decisions that drive growth.

Growth is the defining characteristic of successful organisations, and Gain Theory's vision is to accelerate growth for ambitious brands. We define ambitious brands as those that generate earnings/profits that are above the industry average. We deliver:

• Data strategy, harmonization, and visualization.
• Advanced analytics and modelling, including MMM, attribution and unified measurement, testing, segmentation, behavioural sciences, choice analytics, simulation, war gaming and forecasting.
• High-touch consultancy that includes bespoke roadmaps, training and education, industry benchmarking and activation planning.

At Gain Theory, we love accelerating growth for ambitious brands and people. As a Gain Theorist, you will need to demonstrate behaviours which support our values.

Our values are: Be Curious, Be Positive, Act with Consideration and Make it Better. You can read more about our values here:

What you'll do

As a Senior Analyst at Gain Theory, 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.

You will also be expected to develop strong relationships with clients and communicate Gain Theory's approaches and beliefs. Before joining a client delivery team, you will undergo our industry-leading Training Academy, where you will gain technical skills and knowledge of our working practices and methodologies.

Key Characteristics

A successful candidate must be able to demonstrate evidence of a high degree of 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, candidates 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.

Key responsibilities include:

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 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

• 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.

Creation of presentations: Content creation, summary of findings, accuracy checks

• Create content as specified by project lead, taking responsibility for entire sections rather than focusing on just factual and data slides.
• Assist in the creation of all areas of the deck as directed.
• Ensure that all content is checked for accuracy and that it is correctly labelled, complete and ready for delivery to client.
• Summarise and comment on findings, add consultancy input rather than on factual statements.

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.

Client Management & Interaction: Client contact and interaction, delivery of results to the client

• Answer specific data questions that may arise in external meetings as a senior analyst, act as a specialist closest to the data.
• Be prepared to proactively support and engage during calls with clients (data calls, weekly calls etc.).
• Be involved in the delivery of results to the client and present sections of presentations during meetings.
• Proactively supporting day-to-day client contact using email and telephone where appropriate.

Team Support & Development: Team collaboration & communication

• Work effectively with teams to ensure excellent performance.
• Supporting and training new Analysts (Graduates) team members; including guiding new Analysts (Graduates) during their training project.
• Work as a team member in a way that reinforces Gain Theory's Values to all colleagues.
• Assist team members and new Analysts (Graduates) in interpreting the tasks they have been set.
• Provide timely feedback to team members.

Innovation: Process improvements, product development, new trainings

• Actively seek more efficient ways of doing things for yourself and others and turn suggestions into actions.
• Host knowledge shares to share your experience on topics of interest for the business.
• Be proactive in using new tools and take the active part in their testing when in the development stage, in line with your personal expertise and skills.
• Assist in service and product development, where necessary. Actively put yourself forward if your involvement can improve outcomes for the company.

Meetings: Organisation of internal and external meetings, participation and attendance as required, agenda, minutes, lead meetings

• Proactively support with organising internal and external project meetings, including office calendar invites and ensuring an agenda exists. Aim to lead/chair internal meetings.
• Support the creation of an agenda to ensure content is prepared/to hand as necessary to support each agenda item.
• Support the creation and distribution of project minutes and actions.
• Support project lead with day-to-day operational aspects of the project.

Some skills you can expect to learn and develop:

• Comprehensive data extraction, manipulation, and analysis
• Data validation and accuracy checks
• Batch file creation and programming (using Excel, SQL, Python, Pandas, Analytics Workbench)
• Model building and validation, sales effects calculations, ROIs, media optimization
• Presentation creation and summary of findings
• Communication and relationship building with clients
• Technical skills development through training and continuous learning
• Communication and presentation skills
• Mentorship and support of junior analysts
• Delivery of high-quality work and project management

What you'd need to succeed:

• Minimum 1 year experience and background in a similar field. Focus is data and analytics with econometrics.
• You are highly proficient with technology, software and can demonstrate quick grasp of programming languages.
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