At a Glance
- Tasks: Lead analytics projects and turn data into actionable insights for top brands.
- Company: Global analytics consultancy with a focus on advanced analytics and AI.
- Benefits: Competitive salary up to £90,000, hybrid work, and professional growth opportunities.
- Other info: Mentorship opportunities and collaboration with international brands.
- Why this job: Join a high-performing team and make a real impact in marketing science.
- Qualifications: Experience in marketing analytics and strong analytical skills required.
The predicted salary is between 90000 - 90000 € per year.
The Data Gals are partnering with a global analytics consultancy that specialises in helping brands use advanced analytics, AI, and data science to optimise commercial and marketing performance. This is an opportunity to join a high performing consulting environment working with well known international brands across sectors including retail, consumer, financial services, and automotive.
We’re looking for someone with a strong background in marketing science, commercial insights, econometrics who enjoys combining technical expertise with client facing strategic work.
The Role
- Leading measurement projects across multiple client accounts
- Translating complex data into commercial recommendations for senior stakeholders
- Supporting clients with marketing optimisation, performance analysis, and investment decisions
- Managing project delivery, timelines, and stakeholder expectations
- Mentoring and supporting junior team members
- Contributing to business growth, proposals, and client strategy discussions
- Driving best practices across analytics, modelling, and insight generation
What We’re Looking For
- Experience within marketing analytics, econometrics, measurement, or marketing effectiveness
- Strong analytical and problem solving capabilities
- Experience working in consulting, agency, or fast paced commercial environments
- Ability to communicate technical findings to non-technical stakeholders
- Experience leading projects and working with cross functional teams
- Strong knowledge of statistical modelling and analytical techniques
- Hands-on experience with tools such as Python, SQL, R, or similar
- Commercial mindset with the ability to connect analytics to business impact
Unfortunately, sponsorship is NOT available for this position.
If interested, APPLY NOW or feel free to reach out to kat@thedatagals.co.uk to learn more.
Marketing Science Manager employer: The Data Gals | by AI Connect
Join a dynamic global analytics consultancy in London, where you will thrive in a high-performing environment that values innovation and collaboration. With a strong focus on employee growth, we offer mentorship opportunities and the chance to work with renowned international brands across diverse sectors. Our hybrid work culture promotes flexibility while ensuring you are part of a supportive team dedicated to driving impactful business insights through advanced analytics.
Contact Detail:
The Data Gals | by AI Connect Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Science Manager
✨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 refer you directly.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. We want you to showcase your experience in marketing science and how you've turned data into actionable insights. Make it relatable and engaging!
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Highlight your relevant experience in econometrics and analytics, and show how you can add value to their team. We love seeing that personal touch!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’re the perfect fit!
We think you need these skills to ace Marketing Science Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Marketing Science Manager. Highlight your experience in marketing analytics and econometrics, and don’t forget to showcase any relevant projects you've led.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific skills like your analytical capabilities and how you’ve turned data into actionable insights for clients.
Showcase Your Technical Skills:Since this role requires hands-on experience with tools like Python, SQL, or R, make sure to include these in your application. Give examples of how you’ve used these tools to drive business impact in previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on the path to joining our team!
How to prepare for a job interview at The Data Gals | by AI Connect
✨Know Your Numbers
Brush up on your analytical skills and be ready to discuss specific metrics and models you've worked with. This role is all about translating data into actionable insights, so having concrete examples of how you've done this in the past will impress your interviewers.
✨Speak Their Language
Make sure you can explain complex concepts in simple terms. The ability to communicate technical findings to non-technical stakeholders is crucial. Practice explaining your previous projects to a friend who isn’t in the field to ensure you can break it down effectively.
✨Showcase Your Leadership Skills
Since you'll be leading projects and mentoring junior team members, be prepared to share examples of how you've successfully managed teams or projects in the past. Highlight any challenges you faced and how you overcame them to demonstrate your leadership capabilities.
✨Connect Analytics to Business Impact
Prepare to discuss how your analytical work has directly influenced business decisions or outcomes. Think of specific instances where your insights led to improved marketing performance or investment decisions, as this will show your commercial mindset and relevance to the role.
