At a Glance
- Tasks: Own the analysis for loyalty programmes and turn data into actionable insights.
- Company: Join Collinson, a leader in loyalty solutions for top global brands.
- Benefits: Enjoy real ownership of your work and visible impact on major brands.
- Other info: Dynamic role with opportunities to work across various analytics and reporting.
- Why this job: Shape decisions that matter and see your analysis drive real commercial outcomes.
- Qualifications: 4+ years as a data analyst with strong SQL and Excel skills.
The predicted salary is between 43731 - 53449 £ per year.
Own the analysis behind loyalty programmes for some of the world's biggest travel, transport and financial brands. This is a standalone analyst role, so you’ll run the numbers end to end. You will turn customer and CRM data into decisions leadership can act on, and you will see the commercial impact of your work directly. You’ll sit in Collinson’s loyalty division, where we treat loyalty as a strategic asset rather than a cost centre.
What you'll do
- Insight and reporting
- Build and maintain the reports the business runs on, and make them ones people rely on
- Analyse customer behaviour, retention, purchase frequency and lifetime value
- Turn analysis into clear recommendations non-technical stakeholders can use
- Loyalty and customer analytics
- Build customer segmentations that drive personalisation and targeting
- Measure campaign performance across email, SMS, push and onsite
- Prove the incremental impact of CRM and loyalty activity
- Support A/B testing and experimentation
- Modelling and forecasting
- Build propensity, churn, cross-sell/upsell and customer lifetime value models
- Forecast revenue, customer value and campaign performance
- Spot leading indicators early and translate them into commercial actions
- Model likely ROI on new programmes and initiatives
- Data
- Specify, extract, clean and validate datasets from multiple systems
- Develop derived variables for targeting in platforms like Salesforce
- Improve data structures and reporting processes, and flag issues before they bite
What you'll bring
- 4+ years as a data analyst working with complex, multi-channel customer data
- Strong SQL for querying and extracting data
- Advanced Excel - pivot tables, formulae, large datasets
- A BI tool: Power BI or Tableau
- CRM, loyalty or lifecycle marketing analytics experience
- The ability to explain complex findings in plain business language
Nice to have
- Python or R
- Customer segmentation and predictive modelling
- Marketing automation or CDP platforms (Salesforce, Braze, HubSpot, Klaviyo)
- A feel for retention and customer lifetime value metrics
You'll do well here if you
- Think commercially and care about outcomes, not analysis for its own sake
- Are curious and go looking for the opportunities no one asked about
- Can juggle several priorities without dropping the detail
- Like working directly with stakeholders, internal and client-side
Why Collinson
- Real ownership. As the sole analyst, the analysis is yours. Your work reaches leadership and shapes decisions.
- Visible work. You’ll analyse programmes running with major transport, travel and financial brands.
- Breadth. Reporting, modelling, experimentation and data — not one narrow lane.
Collinson is an equal opportunity employer and welcomes differences in all their forms, including colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, disability, and people from all backgrounds, cultures and experiences. Please feel free to note the pronouns you use. If you need any extra support during the interview process, email us at.
Lead Data Analyst in London employer: Collinson Group
Collinson Group is an excellent employer that fosters a welcoming and inclusive work culture in the heart of Greater London. With a focus on employee growth and development, we offer flexible part-time roles that allow you to balance your personal commitments while contributing to a dynamic team. Join us to be part of a diverse environment where your contributions are valued and recognised.
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We think this is how you could land Lead Data Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Collinson Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Collinson Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Collinson Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Collinson Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
