Senior Analyst (MMM)

Gain Theory; Greater London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Senior Analyst to join their dynamic team in London. This role focuses on leveraging data analytics to optimize marketing strategies and drive business growth. You will work closely with clients and senior colleagues, utilizing your expertise in Marketing Mix Modelling and data analysis to deliver actionable insights. With a commitment to inclusivity and diversity, this forward-thinking consultancy offers a supportive environment for professional development. If you're passionate about using data to make informed decisions and thrive in a collaborative setting, this opportunity is perfect for you.

Benefits

Flexible Working Hours

Professional Development Opportunities

Health and Wellness Programs

Team Building Activities

Diversity and Inclusion Initiatives

Qualifications

• 1+ years experience in data and analytics with econometrics focus.
• Proficient in programming languages and data extraction tools.
• Ability to work within a diverse team and deliver innovative solutions.

Responsibilities

• Conduct data extraction and analysis to inform marketing strategies.
• Build and validate models to assess sales effects and ROI.
• Create presentations summarizing findings for clients.

Skills

Data Analysis

Marketing Mix Modelling (MMM)

SQL

Python

Excel

Data Manipulation

Client Management

Education

Degree in Economics

Degree in Mathematics

Degree in Statistics

Tools

Google Analytics

Advantage

AdDynamix

Sysomos

Google Trends

Job description

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Senior Talent Acquisition Partner at Gain Theory

Senior Analyst with expertise in Marketing Mix Modelling (MMM) required to join our dynamic team. As an Analyst, you will leverage data analytics to optimise marketing strategies and drive business growth. Your analytical prowess and strategic thinking will be vital in interpreting complex datasets and providing actionable insights that enhance marketing effectiveness.

What you’ll do

As an Senior Analyst (MMM) 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 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.
• 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 the lead analyst; act as a specialist closest to the data.
• Be prepared to lead 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.

Team Support & Development: Team collaboration, leadership, 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.

What you’d need to succeed:

• 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.

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 organisation 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: www.gaintheory.com/our-culture-people-and-value

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information, please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Marketing Services

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