Data analyst in restaurant operations

Massive Rocket is a rapidly scaling Braze and Snowflake agency that helps digital marketing, product, and engineering teams connect. It builds human experiences at scale using web, mobile, cloud, data, and AI technologies.

• Analyse CRM and campaign data in Braze to measure acquisition, engagement, retention, LTV, and campaign effectiveness;
• Analyse customer and transactional data to identify behavioural trends, purchase patterns, and opportunities;
• Conduct restaurant-level analysis of order frequency, average basket value, transactions, and 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 actionable commercial recommendations for CRM, Loyalty, and Restaurant Operations teams;
• Build Power BI dashboards and reporting;
• Partner with Data & Analytics, Data Engineering, CRM, Loyalty, and Operations teams to access and validate datasets;
• Investigate open-ended business questions, structure analyses, and take findings from brief to action;
• Contribute to a data-driven approach to customer engagement, loyalty, and restaurant performance.

• Strong experience as a Data Analyst, CRM Analyst, Customer Analyst, or in a similar analytical role, ideally in CRM, loyalty, retail, QSR, or consumer businesses;
• Advanced SQL skills for independently querying, joining, cleaning, and analysing large datasets;
• Hands-on experience with Snowflake or similar cloud data platforms;
• Strong Power BI or BI tooling experience;
• Solid understanding of CRM and loyalty analytics, including customer lifecycle, segmentation, retention, LTV, campaign performance, and engagement metrics;
• Experience with CRM platforms such as Braze and campaign/customer data analysis;
• Strong commercial mindset and ability to turn analytical findings into practical recommendations and business actions;
• Experience working with transactional, customer, app, and behavioural datasets at a granular level;
• Strong stakeholder management and communication skills for explaining complex analysis to technical and non-technical audiences;
• Ability to independently define the analytical approach for ambiguous or open-ended briefs;
• Experience collaborating with Data Engineering, Data & Analytics, CRM, Loyalty, and Operations teams;
• Strong attention to data quality, accuracy, and analytical rigour;
• Nice to have:
  Experience in 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 with restaurant/store-level performance data, knowledge of experimentation, incrementality, or campaign measurement methodologies.

• Part-time employment
• Remote-first work from any location
• BYOD policy; own equipment is used for work;
• A valid work visa is required;
• visa sponsorship is not available;
• Proof of identity may be requested;
• Two references may be requested;
• Contractors must provide proof of incorporation and up-to-date insurance;
• Growth opportunities, career progression, ownership, meetups, events, and team experiences.