At a Glance
- Tasks: Lead the strategy and execution of our marketing measurement framework.
- Company: Join a dynamic team at a growing public company with a focus on innovation.
- Benefits: Competitive salary, flexible working, private medical insurance, and a paid sabbatical.
- Other info: Enjoy a fun, inclusive culture with plenty of team activities and growth opportunities.
- Why this job: Shape the future of marketing analytics and make a real impact globally.
- Qualifications: Experience in marketing analytics, strong SQL and Python skills, leadership potential.
The predicted salary is between 75000 - 115000 € per year.
We're looking for an Analytics Manager to join our Marketing Science team and own the strategy, execution and evolution of our marketing measurement framework. This role is your opportunity to shape how we drive measurable impact of £M’s of marketing investment across the globe. In this role, you'll be a key leader, guiding a team of two analysts to build, maintain, and evolve our triangle of measurements from end to end. The ideal candidate is a highly analytical hands‑on leader with deep technical expertise, a strong understanding of advertising effectiveness and the ability to work cross‑functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams.
Your Mission
You will be responsible for the strategic direction of our triangle of measurements, ensuring it provides the best representation of marketing’s impact and actionable insights that drive marketing optimization across the company. If you are passionate about advertising effectiveness, intellectually curious and outcome oriented, this role is for you!
Key Responsibilities
- Own the strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models.
- Collaborate effectively with marketing channels, data science and data engineering, and other cross‑functional teams to identify and prioritise key business needs in our measurement products.
- Manage and develop a team of two analysts in different IC levels, fostering their growth and ensuring high‑quality output, and that the project priority definition is outcome oriented.
- Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations.
- Leverage AI tools to optimise and scale our processes, and provide deep‑dives.
- Define processes for marketing channel optimisation based on different measurement solutions available.
- Own the end‑to‑end technical build of the new features of the attribution model, leveraging tools like dbt, SQL and Python to create a robust and scalable solution.
- Generate insights to provide strategic recommendations on how to optimise marketing channels and spend.
- Act as a subject matter expert on our whole measurement framework.
Qualifications
- Bachelor’s degree in Statistics, Economics, or other relevant fields.
- 4+ years of experience in a marketing analytics or data science role.
- Leadership/management experience is advantageous but not required.
- Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Lightdash). dbt is advantageous.
- Experience building and deploying data pipelines and models is essential.
- Very strong, hands‑on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementation.
- Knowledge of Marketing Mix Models and experimentation.
- Proven ability to think strategically about how to use and improve an analytical product to drive business value.
- Excellent project management and stakeholder management skills, with the ability to communicate complex technical concepts to non‑technical audiences.
- Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing.
Benefits
- Base salary of £75,000 - £115,000
- RSU's in a growing and public company
- Work from (almost) anywhere in the world for up to 90 days a year
- Flexible working – you’re trusted to do the right thing and be responsible
- Private Medical Insurance + Life Insurance
- Discounted gym memberships and cycle to work scheme
- A paid 6‑week sabbatical leave after four years
- 26 weeks maternity leave at full pay
- An annual self‑development budget
- Annual Mission Days festival
- Pet friendly offices
- Lots of fun group activities like yoga, running and boardgame nights
We believe teams are strongest when they are diverse, equitable and inclusive.
Analytics Manager - Marketing Science employer: Dangote Industries Limited
Join our dynamic Marketing Science team as an Analytics Manager, where you'll lead a talented group of analysts in shaping the future of marketing measurement. With a strong emphasis on employee growth, flexible working arrangements, and a vibrant work culture that promotes diversity and inclusion, we offer a unique opportunity to make a significant impact while enjoying benefits like a generous sabbatical leave and wellness initiatives. Our London office is not just a workplace; it's a community that values collaboration and innovation, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager - Marketing Science
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in analytics or marketing science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytical prowess and past successes. This is your chance to demonstrate how you can drive measurable impact, just like we do at StudySmarter.
✨Tip Number 3
Ace the interview by being prepared! Research the company’s marketing strategies and think of ways you can contribute to their measurement framework. We love candidates who come with ideas and a passion for advertising effectiveness.
✨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 joining our awesome team.
We think you need these skills to ace Analytics Manager - Marketing Science
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Analytics Manager. Highlight your experience in marketing analytics, data science, and any leadership roles you've had. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for advertising effectiveness and how you can drive measurable impact. Let us know why you're excited about this opportunity and how you can contribute to our Marketing Science team.
Showcase Your Technical Skills:Since this role requires proficiency in SQL, Python, and data visualisation tools, make sure to highlight these skills prominently. If you've worked with marketing attribution models or built data pipelines, we want to hear about it!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Dangote Industries Limited
✨Know Your Numbers
As an Analytics Manager, you'll need to demonstrate your deep understanding of marketing metrics. Brush up on key performance indicators (KPIs) and be ready to discuss how you've used data to drive marketing decisions in the past.
✨Showcase Your Leadership Skills
Even if you haven't managed a team before, think about times when you've led projects or initiatives. Be prepared to share examples of how you've guided others, fostered collaboration, and achieved outcomes, as this role involves managing two analysts.
✨Get Technical
Familiarise yourself with SQL, Python, and any data visualisation tools mentioned in the job description. Be ready to discuss specific projects where you've built data pipelines or models, and how you leveraged these tools to optimise marketing strategies.
✨Prepare for Cross-Functional Collaboration
This role requires working closely with various teams. Think of examples where you've successfully collaborated with marketing, data science, or engineering teams. Highlight your communication skills and ability to translate complex concepts for non-technical stakeholders.