At a Glance
- Tasks: Lead advanced Marketing Mix Modelling projects and deliver actionable insights for clients.
- Company: Join a world-renowned agency that empowers brands with data-driven insights.
- Benefits: Enjoy a competitive salary, flexible working, and generous holiday allowance.
- Other info: Collaborative environment with excellent training and development opportunities.
- Why this job: Make a real impact by transforming complex data into strategic marketing actions.
- Qualifications: Experience in Marketing Mix Modelling and strong coding skills in SQL, R, or Python.
The predicted salary is between 55000 - 65000 £ per year.
Location: London (hybrid)
Salary: £55,000 - £65,000 + Benefits
Peaple Talent is proud to be partnering exclusively with a world-renowned agency that empowers the biggest brands with evidence-based insights to supercharge their media investment. Through the smart application of data, analytics, and independent thinking, they help businesses make better decisions and drive meaningful results.
As part of exciting expansion plans, we’re looking for a Senior Analytics Consultant with expertise in Econometrics and Marketing Mix Modelling (MMM) to join their high-performing team.
What You’ll Be Doing:
- Delivering advanced MMM and econometric modelling projects.
- Transforming complex data and model outputs into actionable insights that create real value.
- Delivering high-quality MMM and analytics projects across major client accounts.
- Building strong, consultative relationships with internal teams and external clients.
What We’re Looking For:
- A commercially savvy analyst with a passion for turning data into strategic action.
- Hands-on experience with MMM projects and comfortable navigating marketing/media datasets to uncover trends and efficiencies.
- Solid coding experience in SQL, R or Python.
- Strong understanding of marketing, media, and promotional strategies.
- Demonstrable hands-on experience in Marketing Mix Modelling.
- A confident communicator and collaborative team player.
- Analytical thinker with the ability to translate data into business impact.
What’s On Offer:
- Competitive salary: £55,000 – £65,000.
- 25 days holiday + bank holidays.
- Flexible hybrid working (2-3 days/week in office).
- Healthcare cash plan & Life Assurance (3x salary).
- Training and development (internal & external support).
Senior Analytics Consultant - Marketing Mix Modelling in City of London employer: Peaple Talent
Join a dynamic and innovative organisation in the UK that prioritises employee growth and development, offering a collaborative work culture where your contributions are valued. As an IP Engineering Lead, you will benefit from a supportive environment that encourages technical excellence and leadership, with ample opportunities to shape engineering standards and advance your career in the rapidly evolving field of network services.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Consultant - Marketing Mix Modelling in City of London
✨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 Peaple Talent!
✨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 Senior Analytics Consultant - Marketing Mix Modelling at Peaple Talent.
✨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 Peaple Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Consultant - Marketing Mix Modelling at Peaple Talent, 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 Senior Analytics Consultant - Marketing Mix Modelling in City of London
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 Peaple Talent, 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 Peaple Talent. 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 Peaple Talent
✨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 Peaple Talent!
✨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.
