CRM Data Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 23h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 7d ago
The date the source published, not the day we noticed it (2026-09-08). Last seen at its source just now.
Is it remote?
Anywhere in UK
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £74k–98.8k/yr
Middle 50% of 12 listings that do state pay — Operations · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 7d ago · last seen just now
The listing
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.
- 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.
- 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.