At a Glance
- Tasks: Deliver insights and analytics for top brands, shaping strategies with data-driven recommendations.
- Company: Join Curve Analytics, a fast-growing consultancy blending tech and insights.
- Benefits: Competitive salary, 25 days holiday, hybrid working, and a generous pension scheme.
- Other info: Be part of a diverse team in a dynamic environment with excellent growth opportunities.
- Why this job: Make a real impact in marketing analytics while growing your skills in a vibrant culture.
- Qualifications: 2+ years in consulting or analytics, strong analytical and communication skills.
The predicted salary is between 50000 - 60000 € 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 a Consultant to join the team as we scale our marketing analytics and AI offer.
About the role: As a Consultant at Curve, you'll deliver insights and analytics engagements alongside senior colleagues - working directly with clients, hands-on with the analysis, and helping shape how we work. You'll partner with our Technology team across the marketing lifecycle, from scoping the problem through to a result the client can act on. It's a role with real responsibility and visibility from early on.
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 company they wanted to work in: people-led, ambitious, and good at what we do. Beyond client work, you will play a key part in shaping the future of our fast-growing start-up - getting involved in internal workstreams like capability development, culture, and proposition work.
What you'll do:
- Client Delivery - Deliver insights and analytics engagements as part of a cross-functional team. Work with consumer data from a range of sources to surface insights that support client strategy and commercial growth. Apply structured analytical thinking to ambiguous problems, and turn outputs into clear, compelling recommendations through strong visualisation and storytelling.
- Stakeholder Engagement - Work with business and technical stakeholders to gather requirements and scope analytical work. Bridge business and technical conversations - translating strategy into requirements, and analysis into recommendations.
- Development - Learn how to plan, scope and manage new work with support from senior colleagues. Contribute to building Curve - help shape our methods and frameworks, and support proposition development.
What we're looking for:
- 2+ years in consulting, insights or analytics - ideally delivering for consumer, retail, or media brands
- Strong analytical skills - able to interpret data, spot the story, and turn it into a clear recommendation
- Sharp communicator - able to make analysis land with both technical and non-technical audiences
- Commercially minded - you connect analytical work back to business value
- Comfortable with ambiguity, fast pace, and owning the detail
- Curious by default - keen to explore new topics, tools and techniques
- Exposure to AI, predictive modelling, or marketing technology stacks is a strong plus
- Experience with digital data tools (social listening, search keyword, web traffic, etc.) is a 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 re-assignment, 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.
Consultant (Analytics) employer: Curve Analytics
Curve Analytics is an exceptional employer, offering a vibrant company culture in the heart of London, where you can thrive alongside a diverse team of over 100 professionals. With a strong focus on employee growth, you will benefit from a personalised development plan, generous training budgets, and a supportive environment that encourages innovation and collaboration. Enjoy competitive salaries, a comprehensive benefits package, and the flexibility of hybrid working, all while contributing to impactful projects for some of the world's largest brands.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant (Analytics)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Curve Analytics on LinkedIn. Ask them about their experiences and any tips they might have for landing the Consultant role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Curve's projects and case studies. Show us you understand our approach to analytics and how you can contribute. Bring your analytical thinking skills to the table and be ready to discuss how you can turn data into actionable insights.
✨Tip Number 3
Practice your storytelling skills! When discussing your past experiences, focus on how you’ve turned complex data into clear recommendations. We love candidates who can bridge the gap between technical analysis and business value.
✨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 us you’re genuinely interested in being part of the Curve team.
We think you need these skills to ace Consultant (Analytics)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Consultant role. Highlight your experience in analytics and consulting, and show how your skills align with what we do at Curve Analytics.
Showcase Your Analytical Skills:We want to see your analytical prowess! Include examples of how you've interpreted data and turned it into actionable insights. Use clear visuals if possible – we love a good story told through data!
Communicate Clearly:Your application should reflect your communication skills. Write clearly and concisely, making sure your points are easy to understand. Remember, you’ll be bridging business and technical conversations, so show us you can do that from the get-go!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Curve!
How to prepare for a job interview at Curve Analytics
✨Know Your Data
As a Consultant in Analytics, it's crucial to have a solid grasp of data interpretation. Brush up on your analytical skills and be ready to discuss how you've turned data into actionable insights in past roles. Prepare examples that showcase your ability to spot trends and make recommendations.
✨Master the Art of Storytelling
You’ll need to communicate complex analyses clearly. Practice how you can turn your findings into compelling narratives that resonate with both technical and non-technical audiences. Use visuals to support your points and make your analysis memorable.
✨Understand the Client's Needs
Before the interview, research Curve Analytics and its clients. Familiarise yourself with their services and think about how your skills can help them achieve their goals. Be prepared to discuss how you would approach client engagements and what value you can bring to their projects.
✨Show Your Curiosity
Curve values curiosity, so demonstrate your eagerness to learn and explore new tools and techniques. Share examples of how you've embraced new challenges in your previous roles and how you stay updated with industry trends, especially in AI and marketing technology.
