Senior Analyst (MMM)

Reposted 7 Days Ago
Easy Apply
Be an Early Applicant
London, Greater London, England
In-Office
1-100K Annually
Mid level
Marketing Tech
The Role
As a Senior Analyst, you'll manage data extraction, model building, client interactions, and support junior analysts while delivering insights and presentations for clients.
Summary Generated by Built In
The opportunity:

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.

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 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.
What we want from you:
  • 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.
Skills you can expect to learn & 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

Gain Theory iscommitted 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. 

What we pride ourselves on: 
  • Growth and development
  • Meaningful work
  • Flexible by design
  • Brilliant benefits 
  • Culture with Heart 

Our exceptional and skilled team defines Gain Theory. That's why we seek individuals who strive for excellence and continually challenge us to improve.

What we do 

Gain Theory is a global marketing effectiveness and foresight consultancy. Our vision is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions. High-touch consultancy powered by unique partnerships and proprietary technology are used to power our award-winning solutions.  

 As a WPP consultancy, Gain Theory also has access to a range of data, expertise, and tools that create a truly differentiated offering. 

 Gain Theory isaWPPagency(NYSE: WPP).      

 Who we are 

We are a people-centric organisation whose culture is underpinned by 4 important values: Be Curious, Be Positive, Make it Better and Act with Consideration. We channel these values through our behaviours, in the way we work, and in the interactions we have with each other and our clients. 

WPP (Gain Theory) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to 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. 

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.

Note: 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 "Submit Application", this will send any information you add to Gain Theory. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy.  California residents should read our California Recruitment Privacy Notice which 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. 

Top Skills

Addynamix
Advantage
Analytics Workbench
Double Click
Excel
Google Analytics
Google Trends
Pandas
Python
SQL
Sysomos
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
174 Employees
Year Founded: 2015

What We Do

Gain Theory is a global marketing effectiveness and foresight consultancy with expertise in data, advanced analytics, and technology. We exist to accelerate growth for ambitious brands by empowering smarter, data-informed marketing investment. Our experts fuse hindsight, insight, and foresight to improve investment decisions and activate growth at speed.

Gain Theory is a recognized Leader in The Forrester Wave™: Marketing Measurement and Optimization, Q3 2023.

Available in 58 markets, our award-winning solutions and highly specialized vertical expertise support clients via five measurement and optimization pillars:

Marketing Effectiveness Index: The MEI diagnostic tool that pinpoints the barriers to and opportunities for growth – a great place to start your journey with us.

Data excellence: When it comes to data, we’re focused on quality because your most important investment decisions need to be informed by the best possible data.

Sources of growth: Understanding where growth has come from in the past, is coming from today, and will come from in the future is vitally important as it enables you to target your investment more effectively.

Levers of growth: When you know where your growth will come from, you then need to know how you can accelerate it using MMM, attribution, unified measurement, and test and learn.

Foresight: Much of the data that marketers rely on to make decisions is inherently backward looking. We can help you to plan more accurately for what might happen in the future.

Similar Jobs

Easy Apply
In-Office
London, England, GBR
3786 Employees

Mondelēz International Logo Mondelēz International

Product Manager

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
Birmingham, West Midlands, England, GBR
90000 Employees

Mondelēz International Logo Mondelēz International

Research & Development Product Internship/Placement Year 2026 - 2027

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
Birmingham, West Midlands, England, GBR
90000 Employees
23K-23K Annually

Wise Logo Wise

Data Science Lead - Screening

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
8000 Employees

Similar Companies Hiring

Scrunch AI Thumbnail
Software • SEO • Marketing Tech • Information Technology • Artificial Intelligence
Salt Lake City, Utah
ClickMint Thumbnail
Marketing Tech • Generative AI • eCommerce • AdTech
Malibu, CA
9 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account