At a Glance
- Tasks: Lead data analysis and model building to optimise marketing strategies.
- Company: Gain Theory is a global consultancy focused on marketing effectiveness and growth.
- Benefits: Enjoy a collaborative culture, training opportunities, and the chance to work with cutting-edge technology.
- Other info: Gain Theory values inclusivity and personal development, fostering a supportive work environment.
- Why this job: Join a dynamic team where your analytical skills can drive real business impact.
- Qualifications: A degree in Economics, Mathematics, or Statistics; strong analytical and programming skills required.
The predicted salary is between 36000 - 60000 £ per year.
3 weeks ago Be among the first 25 applicants
Direct message the job poster from Gain Theory
Senior Talent Acquisition Partner at Gain Theory
Principal Analyst with expertise in Marketing Mix Modelling (MMM) required to join our dynamic team. As a Principle 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 a Principal Analyst at Gain Theory, you will support senior colleagues in achieving the efficient delivery of client projects. Typical responsibilities and duties are the collection and preparation of data, contributing to the finalisation of models, writing results and implications and SFX creation. Your role as Principal Analyst is to take responsibility for and oversee other analysts. You will also be expected support the development of analysts through the Training Academy, Knowledge Shares and feedback.
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.
- 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.
- Take charge of day-to-day client contact
Team Support & Development: Team collaboration, leadership, communication
- Take responsibility for supervising, supporting and training junior team members.
- Take responsibility for training new joiners including project managing Graduate Analysts during their training project.
- Lead by example
- Assist team members in interpreting the tasks they have been set.
- Provide timely feedback to team members.
- 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.
What you’d need to succeed:
- 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 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 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.
- You demonstrate behaviours which support our values.
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
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Analyst
-
Industries
Marketing Services
Referrals increase your chances of interviewing at Gain Theory by 2x
Sign in to set job alerts for “Data Analyst” roles.
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 3 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Data Analyst / Business Analyst – Risk Rating & Pricing
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 5 days ago
Investment Data Analyst – Hedge Fund - £65-100k base + bonus
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Principal Analyst employer: Gain Theory
Gain Theory is an exceptional employer located in London, offering a dynamic work culture that prioritises growth and inclusivity. Employees benefit from comprehensive training, mentorship opportunities, and a supportive environment that encourages innovation and collaboration. With access to leading brands and a commitment to employee well-being through generous benefits and recognition programs, Gain Theory is dedicated to fostering both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Gain Theory!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Analyst at Gain Theory.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Gain Theory.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Analyst at Gain Theory, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gain Theory, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gain Theory. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gain Theory
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gain Theory!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
