Senior Analyst (MMM)

WPP (Gain Theory)•Miami, FL

11h

About The Position

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 organizations, and Gain Theory’s vision is to accelerate growth for ambitious brands. We define ambitious brands as those that generate earnings/profits above the industry average. We deliver: Data strategy, harmonization, and visualization. Advanced analytics and modeling, including MMM, attribution and unified measurement, testing, segmentation, behavioral 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 behaviors that 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: www.gaintheory.com/our-culture-people-and-value 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.

Requirements

Minimum 1 year 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.

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 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.
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.