At a Glance
- Tasks: Analyse data to uncover insights that drive business growth and media effectiveness.
- Company: Join Zenith, a leading ROI agency with a collaborative and innovative culture.
- Benefits: Enjoy a competitive salary, health benefits, and opportunities for professional development.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make an impact by turning data into actionable insights for top brands.
- Qualifications: Strong analytical skills and a passion for digital marketing are essential.
The predicted salary is between 58500 - 71500 £ per year.
We are the ROI agency, a position we have proudly held true to since 2005. Our more than 6,000 specialists across 95 markets offer unparalleled capabilities in Media, Data, Technology, Commerce and Content. We put effectiveness at the heart of our work to solve complex challenges, drive successful business outcomes, and grow our clients’ businesses.
Over the years, we have evolved our definition of ROI, as it has changed with the ever-complicated communications landscape. ROI is no longer simply about the most efficient planning, buying and reporting of media. Yes, ROI is about delivering Return on Investment; but it’s also about going beyond to deliver a Return on Imagination and more integrated experiences that inspire Growth.
At Zenith, we ultimately seek out a more meaningful kind of ROI. Our unique way of thinking inspires growth for some of the world’s leading brands, including Coty, Electrolux, Essity, Lactalis, Luxottica, Nestlé, Nomad Foods, Reckitt, TikTok and Verizon.
The role Are you naturally curious about data and excited by the opportunity to turn insights into commercial impact? At Zenith, part of Publicis Media, we're looking for a D2C Analytics Executive to join a growing team supporting one of the world's leading premium home appliance brands. This is an exciting opportunity to develop your analytical expertise while working across multiple European markets, helping shape decisions that drive revenue growth, media effectiveness and customer acquisition.
Responsibilities:
- Analyse performance data across digital marketing channels to identify trends, opportunities and areas for improvement.
- Support forecasting, budget planning and scenario modelling that helps guide investment decisions and business growth.
- Assist with measurement and effectiveness projects, including incrementality testing, attribution analysis and performance evaluation.
- Translate complex datasets into clear recommendations that help teams and clients make informed decisions.
- Monitor performance against targets, forecasts and investment assumptions, highlighting opportunities for optimisation.
- Improve reporting processes by identifying automation opportunities and reducing manual workloads.
- Contribute to the development of dashboards, trackers and reporting frameworks that improve data quality and consistency across markets.
Qualifications:
- Strong analytical thinking and an interest in understanding what drives performance and growth.
- Strong interest in Excel and willingness to learn and manage multiple datasets accurately.
- An understanding of digital marketing, ecommerce or performance media metrics (bonus).
- Excellent attention to detail and a commitment to producing high-quality work.
- Ability to identify meaningful insights and communicate findings clearly to different audiences.
- A proactive and curious approach, with enthusiasm for learning new analytical techniques and tools.
- Strong collaboration and organisation skills, with the ability to manage priorities effectively within a team environment.
Employees joining The Pack, an early careers programme that connects, supports and develops you to kick-start your career with us, initially start with an annual salary of £28,860.
Benefits:
- Pension
- Life Assurance
- Private Medical cover
- Reflection Days
- Shared Parental Leave
We are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic.
Data Analytics Executive in London employer: Zenith
Zenith is an exceptional employer that fosters a dynamic work culture in the heart of Greater London, where innovation and collaboration thrive. Employees benefit from comprehensive growth opportunities, continuous learning initiatives, and the chance to work alongside industry experts in a vibrant environment that champions creativity and performance. Join us to make a meaningful impact in retail media while enjoying the unique advantages of working in one of the world's most exciting cities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Executive in London
✨Get Involved in Data Science Meetups
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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 Zenith.
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We think you need these skills to ace Data Analytics Executive in 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 Zenith, 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 Zenith. 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 Zenith
✨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 Zenith!
✨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.