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 innovative tools.
- Why this job: Join a dynamic team where your analytical skills drive real business impact and client success.
- Qualifications: Degree in Economics, Mathematics, or Statistics; strong analytical and programming skills required.
- Other info: Gain Theory values inclusivity and personal development, fostering a supportive work environment.
The predicted salary is between 36000 - 60000 £ per year.
Principal Analyst with expertise in Marketing Mix Modelling (MMM) required to join our dynamic team. As a Principal 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
- Support senior colleagues in achieving the efficient delivery of client projects.
- Collection and preparation of data, contributing to the finalisation of models, writing results and implications, and SFX creation.
- Take responsibility for and oversee other analysts.
- 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 have been checked for accuracy and formatted to GT standards before passing on to the 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 the project.
- 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.
- Calculate sales effects throughout the project to check results and assess their correctness.
- Create sales effect/ROI workbook, ensuring it is easy to follow and all links are correct.
- Validate models, identify areas of weakness, suggest and test possible improvements, and ensure robustness and validity.
Creation of presentations:
- Create content as specified by project lead, taking responsibility for entire sections.
- Ensure that all content is checked for accuracy and that it is correctly labelled, complete, and ready for delivery to the client.
Client Management & Interaction:
- Answer specific data questions that may arise in external meetings as the lead analyst.
- Be prepared to lead calls with clients.
- Be involved in the delivery of results to the client and present sections of presentations during meetings.
Team Support & Development:
- Take responsibility for supervising, supporting, and training junior team members.
- Lead by example and assist team members in interpreting the tasks they have been set.
- Provide timely feedback to team members.
Innovation:
- Actively seek more efficient ways of doing things for yourself and others.
- Host knowledge shares to share your experience on topics of interest for the business.
- Assist in service and product development, where necessary.
What you’d need to succeed:
- Ability to work within an inclusive and diverse team.
- Interest in using data and analytics to make better decisions.
- Strong ability to communicate and demonstrate a positive desire for making data-informed decisions.
- Highly proficient with technology and software.
- Degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.).
- Good problem-solving skills and understanding of consumer behaviour.
- Capacity to work and learn quickly in a fast-paced environment.
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.
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.
Principal Analyst employer: Gain Theory
Contact Detail:
Gain Theory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Analyst
✨Tip Number 1
Familiarise yourself with the specific data extraction tools mentioned in the job description, such as Google Analytics and SQL. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience with marketing mix modelling (MMM) and how you've used data analytics to drive business growth in previous roles. Real-world examples will showcase your analytical prowess and strategic thinking.
✨Tip Number 3
Engage with Gain Theory's content on social media platforms like LinkedIn and Twitter. This not only shows your interest in the company but also helps you understand their culture and values, which you can reference in your conversations.
✨Tip Number 4
Network with current or former employees of Gain Theory to gain insights into the company’s work environment and expectations. This insider knowledge can help you tailor your approach and questions during the interview process.
We think you need these skills to ace Principal Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, marketing mix modelling, and any specific tools mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your skills align with the responsibilities of the Principal Analyst role. Mention specific projects or experiences that demonstrate your analytical prowess and strategic thinking.
Showcase Your Technical Skills: Clearly outline your proficiency in data extraction tools and programming languages like SQL, Python, and Excel. Provide examples of how you've used these skills in past roles to drive business growth or improve marketing strategies.
Highlight Leadership Experience: Since the role involves overseeing other analysts, emphasise any previous leadership or mentoring experience you have. Discuss how you've supported team members in their development and contributed to a collaborative work environment.
How to prepare for a job interview at Gain Theory
✨Showcase Your Analytical Skills
As a Principal Analyst, your ability to interpret complex datasets is crucial. Be prepared to discuss specific examples of how you've used data analytics to optimise marketing strategies in the past. Highlight any tools or programming languages you are proficient in, such as SQL or Python.
✨Demonstrate Leadership Experience
Since this role involves overseeing other analysts, it's important to showcase your leadership skills. Share experiences where you've trained or supported junior team members, and explain how you foster collaboration and growth within a team.
✨Prepare for Client Interaction Scenarios
You'll be expected to lead calls with clients and present findings. Practice explaining complex data insights in a clear and concise manner. Think about potential questions clients might ask and prepare thoughtful responses that demonstrate your expertise.
✨Emphasise Continuous Learning
Gain Theory values curiosity and personal development. Be ready to discuss how you stay updated with industry trends and new tools. Mention any recent training or knowledge shares you've participated in, and express your enthusiasm for ongoing learning and innovation.