CRM Data Analyst

Who Are Massive Rocket? Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here. 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.