At a Glance
- Tasks: Analyse advertising campaigns and build Market Mix Models to measure ROI.
- Company: Ebiquity plc, a leading analytics firm in London.
- Benefits: Remote/hybrid work options and strong career development opportunities.
- Other info: Support junior colleagues in a dynamic and collaborative environment.
- Why this job: Join a growing analytics practice and make a real impact for blue-chip clients.
- Qualifications: Experience in marketing effectiveness analysis and proficiency in R, Excel, and PowerPoint.
The predicted salary is between 47250 - 57750 £ per year.
Ebiquity plc in London is seeking an experienced Marketing Effectiveness Analyst to help measure the ROI of advertising campaigns.
The role focuses on building Market Mix Models (MMM) and delivering insights for blue‑chip clients.
You will work with R, Excel and Power Point to analyse data, communicate findings, and support junior colleagues.
Hybrid work in London is available, with strong career development in a growing analytics practice.
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Senior MMM Analyst — Remote/Hybrid ROI Insights employer: Ebiquity plc
Ebiquity is an exceptional employer that fosters a dynamic work culture, encouraging continuous learning and professional growth within the Marketing Effectiveness team. With a competitive salary, generous annual leave, and flexible working options based in London, employees are empowered to apply their analytical skills to impactful projects for prestigious clients across various sectors. Join us to be part of a collaborative environment where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MMM Analyst — Remote/Hybrid ROI Insights
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We think you need these skills to ace Senior MMM Analyst — Remote/Hybrid ROI Insights
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 Ebiquity plc, 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 Ebiquity plc. 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 Ebiquity plc
✨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!
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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 Ebiquity plc!
✨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.
