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- Tasks: Lead marketing analytics projects and deliver actionable insights for major brands.
- Company: Join Curve Analytics, a next-gen consultancy transforming consumer opportunities.
- Benefits: Competitive salary, generous leave, hybrid working, and a vibrant company culture.
- Other info: Be part of an inclusive team with excellent growth and development opportunities.
- Why this job: Make a real impact in marketing analytics while working with diverse teams.
- Qualifications: 5+ years in consulting or analytics, strong communication, and project management skills.
The predicted salary is between 60000 - 80000 £ per year.
Curve Analytics is a next-gen insights and analytics consultancy working with some of the world's largest brands to unlock consumer opportunities. We bring together technology, consulting and insights to deliver end-to-end solutions - with consultants who own their engagements, see the impact alongside the client, and progress on merit. Our work spans the full marketing lifecycle - from insights and planning through to activation and measurement.
Our services include:
- Consumer and Category Insights - digging into digital data to surface needs, perceptions, trends and audience segments that shape our clients' strategy
- AI & Data Strategy - working with senior client leaders to set the vision and roadmap for their data and AI transformation
- Consumer 360, Audiences & Personalisation – delivering the data foundations and segmentation models to power marketing insight and activation
- Predictive & Agentic AI - building advanced models and developing AI agents that work across the marketing stack
- Marketing Performance & Reporting - designing and building AI-powered dashboards and reporting that answer the questions marketers actually ask
We've grown rapidly since 2019 and are looking for an experienced Senior Consultant to join the team as we scale our marketing analytics and AI offer.
About the role: As a Senior Consultant at Curve, you’ll own client engagements end-to-end - from shaping the problem with the client through to delivery. You'll work directly with senior stakeholders, design the solutions, build the playbooks we use across the firm, and have a real hand in how Curve grows. It's a role with high responsibility and visibility from day one.
Who you'll work with: You’ll join 100+ colleagues in our central London office - a mix of consultants, analysts and data/AI engineers, drawing on 20+ nationalities. Our leadership group came from big-consultancy backgrounds and built Curve to be the firm they wanted to work in: people-led, ambitious, and good at what we do.
What you’ll do:
- Client Delivery - Lead end-to-end delivery of insights and analytics engagements - from scoping through to a result the client can act on. Translate ambiguous business questions into clear analytical approaches, and the outputs into commercial recommendations. Run cross-functional teams of consultants, AI engineers and data engineers to deliver work that gets used, not just delivered.
- Stakeholder Engagement - Be the trusted day-to-day partner for senior client stakeholders. Bridge business and technical conversations: translate strategy into requirements, and technical constraints into commercial trade-offs.
- Team Leadership and Development - Lead and coach mixed teams of consultants, analysts and data specialists. Help build Curve: shape our methods and frameworks, mentor juniors, and contribute to new business and proposition development.
What we’re looking for:
- 5+ years in consulting or an equivalent in-house strategy or analytics function, with a track record of delivering for major consumer brands.
- Proven experience leading data and analytics transformation initiatives, ideally across the marketing lifecycle (insights, planning, activation, measurement) and in consumer, retail, or media.
- Ability to manage senior stakeholders and influence decision-making.
- Sharp communicator - able to make complex analytics land with non-technical audiences and command a room when it matters.
- Commercially minded - you connect analytical work back to business value.
- Comfortable running delivery, with project management certification (Agile/Scrum, PRINCE2, or similar) as a plus.
- Exposure to AI, predictive modelling, or marketing technology stacks is a strong plus.
Competitive Salary: We offer a competitive salary, that reflects your talent and expertise in accordance with industry standards.
Annual Leave: 25 days holiday a year plus bank holidays.
Annual Bonus: Our Annual Bonus is based on company and individual performance.
Generous Pension: You can expect to receive a generous 8% employers’ pension contribution.
Health and Wellbeing: Access our Cycle to Work Scheme and prioritise your health with our comprehensive AXA Private Healthcare Plan and 24/7 Employee Assistance Programme. You will also be assigned a dedicated People Manager for confidential discussions about your work life.
Hybrid Working: Split your time between working remotely and from our London HQ.
Growth and Development: Development is at the heart of everything we do. You will be able to create a Personalised Growth Plan and get involved in our internal trainings. You will also get a yearly individual learning budget for training, books, courses, certifications, and conferences.
Vibrant Company Culture: Be part of a dynamic company culture with frequent team activities, company events and socials that foster a strong sense of community among our diverse team.
Curve is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. All employment is decided on the basis of qualifications, merit, and business need. If you require any reasonable adjustments to be made during the recruitment process then please don’t hesitate to let us know.
Senior Consultant (Marketing Analytics & AI) employer: Curve Analytics
Contact Detail:
Curve Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant (Marketing Analytics & AI)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for introductions. The more people you know, the better your chances of landing that Senior Consultant role.
✨Tip Number 2
Prepare for interviews by understanding Curve Analytics inside out. Familiarise yourself with their projects, values, and the specific challenges they face in marketing analytics. This will help you tailor your responses and show you’re genuinely interested.
✨Tip Number 3
Showcase your experience with real-life examples. When discussing your past roles, focus on how you’ve led data and analytics transformations. Use metrics to demonstrate your impact – numbers speak louder than words!
✨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 proactive and really want to be part of the Curve team.
We think you need these skills to ace Senior Consultant (Marketing Analytics & AI)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Consultant role. Highlight your experience in marketing analytics and AI, and how it aligns with Curve's mission to unlock consumer opportunities.
Showcase Your Impact: When detailing your past roles, focus on the impact you've made. Use specific examples of how you've led data and analytics transformations that resulted in tangible business outcomes for major brands.
Communicate Clearly: Remember, you’ll need to bridge technical and non-technical conversations. Make your application easy to read and ensure you can explain complex concepts simply. This will show us you're a sharp communicator right from the start.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Curve Analytics
✨Know Your Analytics Inside Out
Make sure you brush up on your marketing analytics knowledge. Be prepared to discuss specific methodologies you've used in past projects, especially those that relate to consumer insights and data transformation. This will show your depth of understanding and how you can apply it at Curve.
✨Master the Art of Communication
As a Senior Consultant, you'll need to bridge the gap between technical and non-technical stakeholders. Practice explaining complex concepts in simple terms. Think about examples where you've successfully communicated analytical findings to clients or team members who may not have a technical background.
✨Showcase Your Leadership Skills
Prepare to discuss your experience leading cross-functional teams. Highlight specific instances where you’ve coached junior team members or influenced decision-making among senior stakeholders. This will demonstrate your ability to take charge and guide others, which is crucial for this role.
✨Align with Curve's Values
Familiarise yourself with Curve's mission and values. Be ready to discuss how your personal values align with theirs, particularly around being people-led and ambitious. Showing that you understand and resonate with their culture will set you apart as a candidate who truly fits the team.