At a Glance
- Tasks: Join a dynamic team to develop data-driven strategies for a major automotive account.
- Company: Award-winning agency with a collaborative and creative culture.
- Benefits: Hybrid work model, fostering creativity and connection with flexible options.
- Other info: Opportunities for growth in a supportive environment that values diversity.
- Why this job: Make an impact by driving data strategies across various marketing channels.
- Qualifications: 2+ years in data roles, strong CRM knowledge, and excellent communication skills.
The predicted salary is between 40000 - 45000 £ per year.
As a Data Planner, you'll be joining a dynamic and award-winning data planning team within a fast‑paced agency environment.
Reporting into a data planning manager, the team is part of the wider EMEA Data team.
Who We’re Looking For
We're seeking a highly collaborative and enthusiastic Data Planner to join our team to work on a large automotive account.
You will be a key data evangelist, working with clients and internal teams to develop and deliver data‑driven strategies focused on CRM targeting, personalisation, measurement, and optimisation.
- What You Will Be Doing
- Building strong relationships with client stakeholders and internal VML teams to promote, develop, and manage data and analysis deliverables.
- Analysing campaigns to develop actionable insights.
- Defining KPIs, benchmarks, targets, and forecasts.
- Developing campaign targeting plans and briefs for internal or 3rd party campaign delivery teams.
- Measuring, evaluating, and optimising marketing activity using best practice testing methodologies.
- Presenting regularly to clients and attending client meetings.
- Driving strategy across all channels and touchpoints, from email, push, and SMS to a connected communications plan encompassing digital media, including social, mobile, and website.
- Working closely with analysts, strategists, account and campaign delivery teams, and multiple client stakeholders.
- What Skills Will Help You Be Successful
- 2+ years of experience in a data function, preferably within an agency environment or a similar role with transferable skills.
- Strong understanding of CRM principles and digital marketing landscape.
- Proven ability to manage your own projects and work effectively within cross‑functional teams.
- Excellent communication, organization, proposal writing, and presentation skills.
- Ability to explain complex technical data concepts in a clear and concise manner to non‑technical audiences.
- Strategic thinking and analytical skills, with a high level of numeracy.
- Proficiency in Excel and other data analysis tools.
- A proactive, curious, and collaborative approach, with a willingness to learn and push boundaries.
- A passion for data and its potential to drive business impact.
- Nice To Have’s
- Familiarity with marketing automation platforms, CDPs, and ESPs, especially Salesforce Marketing Cloud.
- Experience with website analytics and personalisation/testing tools (e. g., Google Analytics, Adobe Analytics & Target).
- Experience with data visualization tools (e. g., Tableau, Power BI) is beneficial.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection.
That's why we've adopted a hybrid approach, with teams in the office an average of four days a week.
If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics.
We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
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Data Planner employer: VML
At VML Live, we pride ourselves on being a leading employer in the dynamic world of Formula 1 hospitality, offering our employees unparalleled opportunities for growth and innovation. Based in our vibrant London HQ, you will be part of a collaborative culture that champions excellence and creativity, while also benefiting from a diverse and inclusive workplace that values every team member's contributions. Join us to not only elevate your career but also to shape unforgettable experiences in one of the most exciting sports globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Planner
✨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 VML!
✨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 Data Planner at VML.
✨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 VML.
✨Apply Directly through Our Website
When you find a suitable opening like Data Planner at VML, 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 Data Planner
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 VML, 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 VML. 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 VML
✨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 VML!
✨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.
