At a Glance
- Tasks: Transform data into insights that boost performance across various sectors.
- Company: Join a vital organisation serving communities across Europe and beyond.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Diverse and inclusive team environment with ongoing recruitment.
- Why this job: Shape the future of marketing analytics and make a real impact.
- Qualifications: Strong analytical skills, experience with Python or R, and a passion for marketing.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to be a valued part of the critical infrastructure that serves communities across Europe and beyond? Are you looking for a position in which you can set direction and help shape our company? If so, then you could be the newest addition to our team as a Senior Marketing Analytics Specialist. Be part of the movement - and play your part.
About The Role
This role is responsible for turning data into actionable insight that drives commercial performance across Passenger, Freight, Logistics, and Retail. You will lead performance analytics and attribution efforts, defining KPI frameworks, building robust reporting, and delivering clear recommendations that optimise channel effectiveness, media investment, and customer outcomes. Working closely with marketing, commercial, and Martech teams, you will ensure insight is trusted, timely, and directly connected to business decisions.
- Defining and maintaining KPI frameworks and shared scorecards aligned to commercial and marketing objectives across all channels and segments
- Building, owning, and evolving dashboards and reporting to track performance, trends, and opportunities across Passenger, Freight, Logistics, and Retail
- Delivering campaign and channel analytics, including ROI analysis, media-mix evaluation, and budget reallocation recommendations
- Design, govern, and analyse experimentation and attribution approaches (A/B testing, incrementality, MMM/MTA where feasible) to quantify impact
- Ensure data quality, reliability, and documentation, working closely with Martech and data teams on tracking, data flows, and governance
About You
You are a commercially minded analyst who combines strong statistical rigour with a practical understanding of how marketing works in the real world. You’re comfortable working with imperfect data, framing open-ended questions, and choosing pragmatic solutions that drive business impact rather than theoretical perfection. You enjoy collaborating with marketers and leaders, translating complex analysis into clear, actionable insight.
You have a strong foundation in statistics and experimentation, including hypothesis testing, regression, clustering, time series analysis, and A/B testing, with applied experience in marketing measurement such as attribution, uplift modelling, and Marketing Mix Modelling. You bring advanced data skills, with strong Python or R capability, SQL proficiency, and experience working with large datasets, cloud data warehouses, and modern analytics tooling. You understand machine learning techniques and, critically, when they add real value in marketing contexts such as churn prediction, propensity scoring, and segmentation.
Alongside your technical skills, you have solid marketing domain knowledge across paid and owned channels, customer lifecycle metrics, attribution challenges, and privacy considerations. You communicate complex ideas in plain language, influence decisions through clear storytelling, and work confidently with stakeholders across marketing, product, finance, and leadership. You thrive in ambiguity, enjoy experimentation and iteration, and balance analytical rigour with speed to deliver insight that leads to action.
We think the strongest teams are built on diversity and inclusivity. Contrasting opinions, varied skills and strong characters bring out the best in us all. And we cannot wait for you to join. Are we a match? Then what are you waiting for? Apply Now. If you think your personality, skills, experience, and desire match this role, we’d love to hear from you. Please send us your CV as soon as possible, as we’re keen to meet potential candidates on an ongoing basis. We look forward to hearing from you.
Marketing Analytics Specialist (Data) employer: DFDS
Join a forward-thinking company that values your insights and contributions as a Marketing Analytics Specialist. With a strong emphasis on collaboration, diversity, and inclusivity, we offer a dynamic work culture where your analytical skills can drive meaningful impact across various sectors including Passenger, Freight, Logistics, and Retail. Enjoy opportunities for professional growth while being part of a team that is dedicated to shaping the future of our critical infrastructure across Europe and beyond.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Analytics Specialist (Data)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to marketing analytics. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your analytical skills with real-world examples. Bring along case studies or projects that demonstrate how you've turned data into actionable insights. This will help you stand out and show that you can deliver results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Marketing Analytics Specialist (Data)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Marketing Analytics Specialist. Highlight your experience with data analysis, KPI frameworks, and any relevant marketing projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! If you’ve got experience with Python, R, or SQL, include specific examples of how you’ve used these tools to drive insights or improve performance. We love seeing practical applications!
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your experiences and achievements. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and it helps us keep track of all applications. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at DFDS
✨Know Your Data Inside Out
As a Marketing Analytics Specialist, you'll be expected to turn data into actionable insights. Brush up on your statistical knowledge and be ready to discuss how you've used data analysis in previous roles. Be prepared to explain your experience with A/B testing, regression, and other analytical techniques.
✨Showcase Your Technical Skills
Make sure you highlight your proficiency in Python, R, and SQL during the interview. Bring examples of dashboards or reports you've built that demonstrate your ability to track performance and trends. This will show that you can handle large datasets and modern analytics tools effectively.
✨Communicate Clearly and Confidently
You’ll need to translate complex analyses into clear, actionable insights for stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will help you demonstrate your storytelling skills and ability to influence decisions.
✨Embrace Collaboration
This role involves working closely with marketing, commercial, and Martech teams. Be ready to discuss how you've collaborated with others in the past to drive business outcomes. Highlight any experiences where you’ve successfully navigated ambiguity and iterated on solutions with a team.