> Markdown version of [/jobs/ext/2841578-crm-data-analyst](https://www.wearedevelopers.com/jobs/ext/2841578-crm-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CRM Data Analyst - **Company:** Massive Rocket - **Location:** UK (Remote available) - **Salary:** £57,096.0 - **Contract:** Franchise - **Skills:** Big Data, Customer Data Management, Information Engineering, Power BI, Cloud Services, Transaction Data, Web Analytics, Business Intelligence Development Studio, Sql Optimization, Snowflake, Data Analytics - **Published:** September 11, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5878698938 ## About the Role * 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. ## Description 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)