At a Glance
- Tasks: Bridge data analysis and marketing strategy to create impactful CRM programmes.
- Company: Join an award-winning agency with a vibrant, collaborative culture.
- Benefits: Enjoy a hybrid work model, growth opportunities, and work on high-profile brands.
- Other info: Fast-paced environment with a focus on learning and collaboration.
- Why this job: Make a real impact by driving data-driven strategies across various channels.
- Qualifications: 2+ years in data roles, strong CRM knowledge, and excellent communication skills.
The predicted salary is between 38250 - 46750 £ per year.
As Data Planner at VML, you will bridge data analysis and marketing strategy to craft data-driven CRM programs. You’ll collaborate with clients and cross-functional teams to shape targeting, measurement, and optimisation across channels. The role sits in the EMEA Data team, supporting a large automotive account with a focus on actionable insights and accountable delivery. This is a hands-on, collaborative position in a fast-paced, award-winning agency environment.
Pay / Benefits
- hybrid work model (office-based ~4 days a week)
- collaboration culture
- opportunity to work on high-profile brands
- growth and development within a global network
Responsibilities
- Build and maintain relationships with client stakeholders and internal teams to manage data and analysis deliverables
- Analyze campaigns to derive actionable insights
- Define KPIs, benchmarks, targets, and forecasts
- Develop campaign targeting plans and briefs for delivery teams
- Measure, evaluate, and optimise marketing activity using best-practice testing methodologies
- Present findings to clients and participate in client meetings
- Drive strategy across channels and touchpoints (email, push, SMS, digital media, social, mobile, website)
- Collaborate with analysts, strategists, account and campaign delivery teams, and stakeholders
Key requirements
- 2+ years in a data function, preferably in an agency or similar role
- Strong understanding of CRM principles and digital marketing landscape
- Proven project management and cross-functional collaboration
- Excellent communication, organisation, proposal writing, and presentation skills
- Ability to explain complex data concepts to non-technical audiences
- Strategic thinking and strong numeracy
- Proficiency in Excel and other data analysis tools
- Proactive, curious, and collaborative mindset with willingness to learn
- Passion for data and its impact on business outcomes
Data Planner (CRM) employer: VML
At VML, we pride ourselves on being a leading creative company that fosters a vibrant work culture where innovation and collaboration thrive. As a Senior Technical Project Manager, you'll have the opportunity to work with some of the world's most exciting brands while benefiting from our commitment to your professional growth and development. Our hybrid work model promotes flexibility, and our core values of Heart, Brains, and Courage ensure that every team member feels empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Planner (CRM)
✨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 (CRM) 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 (CRM) 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 (CRM)
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.
