At a Glance
- Tasks: Transform customer data into actionable insights and drive business decisions.
- Company: Join a dynamic team at Massive Rocket, where collaboration fuels success.
- Benefits: Enjoy remote work, career growth, and a supportive culture.
- Other info: Work in a fast-paced environment with global collaboration opportunities.
- Why this job: Make a real impact by analysing data that drives customer engagement.
- Qualifications: Experience in data analysis with strong SQL and Power BI skills.
The predicted salary is between 40500 - 49500 £ per year.
Who Are Massive Rocket?
Every role at Massive Rocket is entrepreneurial.
The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners.
We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact.
Who Are We Looking to Add to Our Team?
We’re looking for a
CRM Data Analyst who can turn customer, campaign, and transactional data into clear commercial insights. You’ll sit at the intersection of
CRM, loyalty, data, and restaurant operations , helping teams understand what is driving customer engagement, retention, and value.
You’ll be comfortable working independently with large datasets, asking the right questions of the data, and turning open-ended analytical briefs into practical recommendations that influence business decisions.
What Will You Do?
- Analyse CRM and campaign data across
Braze to measure acquisition, engagement, retention, LTV, and campaign effectiveness.
- Interrogate customer and transactional data to identify behavioural trends, purchase patterns, and opportunities .
- Conduct restaurant-level analysis across order frequency, average basket value, transactions, and different store formats.
- Compare performance across
Equity vs. Franchise and Drive-Thru vs. Non-Drive-Thru locations.
- Build benchmarks and identify underperforming restaurants, customer segments, campaigns, and operational areas.
- Translate complex data into clear, actionable commercial recommendations for CRM, Loyalty, and Restaurant Operations teams.
- Build intuitive
Power BI dashboards and reporting that make insights easy for stakeholders to understand and act on.
- Partner with Data & Analytics, Data Engineering, CRM, Loyalty, and Operations teams to access and validate relevant datasets.
- Investigate open-ended business questions, structure the analysis, and take findings from brief to action .
- Contribute to a broader data-driven approach to customer engagement, loyalty, and restaurant performance.
- What Makes You a Great Fit
- Strong experience as a
Data Analyst, CRM Analyst, Customer Analyst, or similar analytical role , ideally within CRM, loyalty, retail, QSR, or consumer businesses.
- Advanced
SQL skills , with the ability to independently query, join, clean, and analyse large datasets.
- Hands-on experience with
Snowflake or similar cloud data platforms .
- Strong
Power BI or BI tooling experience, with the ability to build clear dashboards and reporting.
- Solid understanding of
CRM and loyalty analytics , including customer lifecycle, segmentation, retention, LTV, campaign performance, and engagement metrics.
- Experience working with CRM platforms such as
Braze and analysing campaign/customer data.
- Strong commercial mindset, with the ability to turn analytical findings into practical recommendations and business actions .
- Comfortable working with transactional, customer, app, and behavioural datasets and analysing performance at a granular level.
- Strong stakeholder management and communication skills, with the ability to explain complex analysis clearly to both technical and non-technical audiences.
- Comfortable taking ambiguous or open-ended briefs and independently defining the analytical approach.
- Experience working collaboratively with
Data Engineering, Data & Analytics, CRM, Loyalty, and Operations teams .
- Strong attention to data quality, accuracy, and analytical rigour.
Desirable
- Experience within
QSR, restaurants, retail, hospitality, or other high-volume consumer environments .
- Experience analysing loyalty programmes and customer economics .
- Familiarity with customer data platforms, digital analytics, or modern data stacks.
- Experience working with restaurant/store-level performance data.
- Knowledge of experimentation, incrementality, or campaign measurement methodologies.
- Why You’ll Love Working Here
- Rocket‑Fuelled Growth
- Big challenges, fast learning, and the chance to level up quicker than anywhere else
- A Culture That Actually Gives a Damn
- Supportive, positive, and built around people who want to see you win
- A Global Crew
- Collaborate with brilliant teammates across Europe, the US, and beyond
- Remote‑First for Life
- Work from wherever you feel your best
- Real Career Momentum
- Clear progression, real ownership, and space to grow into your next chapter
- Moments That Matter
- Meetups, events, and team experiences that make the journey unforgettable
- A Few Things to Know Before We Get Started
- Bring Your Own Device
- We operate a BYOD policy, so you’ll use your own kit for work
- Right to Work
- You’ll need a valid work visa; we’re not able to offer sponsorship at the moment
- ID Checks
- We may ask for proof of identity (passport, ID card, or a recent utility bill)
- References
- We may request two references, so have names, relationships, and contact details ready
- For Contractors
- Proof of incorporation and up‑to‑date insurance is required
- A Quick Note on Applications
We receive a high volume of applications, and while we’d love to reply to everyone personally, it’s not always possible.
If you haven’t heard from us within two weeks, it sadly means you haven’t been successful this time.
But don’t let that stop you—we’re growing fast, and new opportunities open up all the time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
These tools assist our recruitment team but do not replace human judgment.
Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please contact us.
CRM Data Analyst employer: Massive Rocket
At Massive Rocket, we pride ourselves on being an exceptional employer that fosters a culture of ownership, collaboration, and growth. As a Data Quality Engineer, you'll enjoy the benefits of remote-first work, rapid career progression, and the opportunity to tackle big challenges alongside a global team of innovative thinkers. With a supportive environment that values your contributions, you'll find meaningful and rewarding employment while helping shape the future of digital experiences.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Massive Rocket!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like CRM Data Analyst at Massive Rocket.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Massive Rocket.
✨Apply Directly through Our Website
When you find a suitable opening like CRM Data Analyst at Massive Rocket, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace CRM Data Analyst
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 Massive Rocket, 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 Massive Rocket. 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 Massive Rocket
✨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 Massive Rocket!
✨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.