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The Opportunity
An excellent position for a Data Scientist or Data Analyst, motivated by variety and opportunity.
This successful and entrepreneurial business focuses on helping hospitality and retail clients understand and serve their customers more effectively. The founder is passionate, kind, and listens to team ideas, trusting them to deliver their work.
This role suits an analyst with several years of experience looking to step up, or someone with experience in a similar data science role.
The Role
- Lead campaign reporting and RFM modelling, working with the internal tech stack (including CRMs, booking/loyalty platforms, and PowerBI for visualization)
- Drive proactive predictive modeling to identify growth opportunities for clients
- Identify and implement new technologies based on market trends and encourage continuous improvement
- Work directly with clients and internal account teams to fulfill reporting and analysis requests
- Present data to stakeholders at all levels, including technical and non-technical professionals
- Manage the Insights team—assign workloads and support team development
The Person
We seek someone who can simplify technical data by explaining the story behind it, enabling activation teams to leverage opportunities.
- Highly skilled in PowerBI, DAX, or similar visualization tools
- Experience with Python, R, and SQL coding environments
- Proficient in Microsoft Excel
- Broad understanding of the hospitality and retail industries, including digital and email marketing roles
- Strong problem-solving skills, high attention to detail, and ability to work independently and in teams
- A storyteller who can explain data to non-numerate individuals
- Excellent written and verbal communication skills
- Flexible with changing priorities, adaptable to an agency environment
- Passionate and curious about Data Science and Analytics
- Motivated to make a positive impact for stakeholders
The Details
- Contract: Permanent
- Remuneration: £40,000 – £50,000 + discretionary bonus + benefits
- Location: London (Soho), 1 day/week in the office, with some attending more often
- Culture: Friendly, positive, fun, and vibrant
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Consulting, Analyst, Marketing
Industries
- Data Infrastructure, Analytics, Marketing Services
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