CRM Data Analyst
Job Description
Key Skills Required
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Core Responsibilities
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.
Key Tasks
- Analyse Braze CRM and campaign data 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.
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Massive Rocket
View Company ProfileMassive Rocket is a powerhouse global Marketing Technology (MarTech) and Data consultancy that fundamentally engineers customer loyalty and retention for massive enterprise brands. Founded in 2018 and headquartered in London, United Kingdom, the agency operates globally with a fully remote, elite workforce. Under the hood, Massive Rocket specializes in architecting "composable growth stacks"—completely bypassing monolithic legacy systems like Salesforce in favor of best-in-class, modern data infrastructure. They seamlessly integrate platforms like Snowflake, Braze, Databricks, and Hightouch to unify highly fragmented first-party data. Their primary target audience spans massive Quick Service Restaurants (QSRs like Papa Johns and KFC), global retail giants, and financial institutions that desperately need to shift from transactional, discount-driven marketing to predictive, AI-driven customer engagement. What sets Massive Rocket apart in the crowded agency landscape is their "AI Decisioning" framework and deep technical specialization (boasting over 200 successful implementations and 220+ Braze/Snowflake certifications)—empowering marketing and engineering teams to work in perfect lockstep, ultimately transforming raw customer data into predictable, scalable revenue.
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