Senior Analyst (MMM) in London

Senior Analyst (MMM) in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
G

At a Glance

  • Tasks: Leverage data analytics to optimise marketing strategies and drive business growth.
  • Company: Join Gain Theory, a leading global marketing effectiveness consultancy.
  • Benefits: Full-time role with opportunities for professional development and a dynamic work environment.
  • Why this job: Make a real impact by transforming data into actionable insights for ambitious brands.
  • Qualifications: 1+ years in data analytics; degree in Economics, Mathematics, or Statistics preferred.
  • Other info: Be part of a diverse team that values curiosity, positivity, and continuous learning.

The predicted salary is between 36000 - 60000 £ per year.

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.

As a 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 finalisation, 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.
  • Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

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.

Senior Analyst (MMM) in London employer: Gain Theory

Gain Theory is an exceptional employer that prioritises employee growth and development through its industry-leading Training Academy, ensuring that you are equipped with the latest skills in data analytics and marketing effectiveness. With a strong commitment to inclusivity and a collaborative work culture, you will thrive in an environment that values curiosity, positivity, and consideration, all while working on impactful projects that drive business growth for ambitious brands in the vibrant London area.
G

Contact Detail:

Gain Theory Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Analyst (MMM) in London

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you’ve tackled challenges.

✨Tip Number 3

Don’t just wait for job postings; be proactive! Check our website regularly and apply directly through it. This shows your enthusiasm and commitment to joining our team.

✨Tip Number 4

Follow up after interviews with a thank-you note. It’s a simple gesture that keeps you fresh in the interviewer’s mind and shows your appreciation for their time.

We think you need these skills to ace Senior Analyst (MMM) in London

Marketing Mix Modelling (MMM)
Data Analytics
Data Extraction and Manipulation
Data Analysis and Validation
Excel
SQL
Python
Pandas
Analytics Workbench
Model Building and Validation
Sales Effects Calculations
ROI Calculation
Client Management
Communication Skills
Team Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Analyst role. Highlight your experience with data analytics, marketing mix modelling, and any relevant tools like Excel or Python. We want to see how your skills align with what we do at Gain Theory!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics, and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.

Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of how you've interpreted complex datasets and provided actionable insights in previous roles. We love seeing real-world applications of your expertise.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be part of the first 25 applicants, which is always a bonus! Let’s get your application in!

How to prepare for a job interview at Gain Theory

✨Know Your Data Tools

Make sure you’re well-versed in the data extraction tools mentioned in the job description, like Google Analytics and SQL. Familiarise yourself with their pros and cons, and be ready to discuss how you've used them in past projects.

✨Showcase Your Analytical Skills

Prepare to demonstrate your analytical prowess by discussing specific examples where you’ve interpreted complex datasets. Be ready to explain how your insights led to actionable recommendations that improved marketing strategies.

✨Practice Client Interaction Scenarios

Since client management is key, think of scenarios where you’ve had to present findings or lead discussions. Practise articulating your thought process clearly and confidently, as this will show your ability to communicate effectively with clients.

✨Emphasise Team Collaboration

Gain Theory values teamwork, so be prepared to share experiences where you’ve supported or trained others. Highlight how you’ve contributed to a positive team environment and helped colleagues achieve their goals.

Senior Analyst (MMM) in London
Gain Theory
Location: London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

G
  • Senior Analyst (MMM) in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • G

    Gain Theory

    50-100
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>