At a Glance
- Tasks: Own customer segmentation and audience strategy to power personalisation and media activation.
- Company: Leading global information analytics business with a focus on innovation.
- Benefits: 12-month contract, flexible working days, and a dynamic team environment.
- Other info: Collaborative role in a complex, global environment with growth opportunities.
- Why this job: Make a real impact by designing frameworks that enhance customer experiences.
- Qualifications: Experience in segmentation and audience strategy; SQL skills preferred.
The predicted salary is between 40000 - 50000 £ per year.
We're recruiting a Segmentation Analyst for a 12-month contract with a leading global information analytics business. ASAP start.
The role
You’ll own customer segmentation and audience strategy across the marketing ecosystem - designing and activating frameworks that power personalisation, journey orchestration, and media activation. Working closely with analytics, lifecycle, and channel teams, you’ll ensure the right customers receive the right message at the right time.
Key responsibilities
- Design and maintain enterprise segmentation frameworks across acquisition, engagement, retention, and value growth
- Build and manage segments within a CDP, including rules-based and model-assisted audience creation
- Partner with Data Engineering and MarTech teams on identity resolution, consent handling, and data quality
- Enable journey orchestration by supplying fit-for-purpose audiences for triggered, lifecycle, and always-on journeys
- Support fatigue management, suppression strategies, and prioritisation logic
- Define segment-level KPIs, support test/control experimentation, and translate performance insights into audience refinements
- Establish best practices for segmentation design, documentation, and lifecycle management
- Ensure GDPR-aligned use of PII, consent signals, and purpose limitation across all audience definitions
Requirements
- Proven experience in segmentation, audience strategy, or CDP-led marketing enablement
- Hands-on experience building and managing segments in a CDP and activation tools
- Strong understanding of segmentation techniques: lifecycle states, engagement tiers, behavioural clustering, value-based and needs-based segmentation
- SQL skills preferred - ability to explore data and validate logic
- Understanding of identity stitching, profile resolution, consent flags, and suppression logic
- Knowledge of trigger-based journeys, eligibility rules, prioritisation, and fatigue controls
- Strong understanding of customer lifecycle marketing and personalisation at scale
- Comfortable operating in complex, global, matrixed environments
- Highly detail-oriented with a governance-first mindset
- Collaborative partner to analytics, MarTech, and marketing operations teams
The details
- 12-month contract
- 2 days per week in London (London Wall) - Tuesday, Wednesday, or Thursday
Segmentation Analyst in London employer: Arrows
Join a leading global information analytics business that values innovation and collaboration, offering a dynamic work culture where your expertise as a Segmentation Analyst will directly impact customer engagement strategies. With a focus on personalisation and audience insights, you'll benefit from professional growth opportunities and the chance to work alongside talented teams in a vibrant London location, all while enjoying a supportive environment that prioritises employee well-being and development.
StudySmarter Expert Advice🤫
We think this is how you could land Segmentation Analyst in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Arrows before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Segmentation Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Arrows, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Arrows, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Arrows’s attention and show the tangible impact of your work.
How to prepare for a job interview at Arrows
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Arrows.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Arrows.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Arrows.
