At a Glance
- Tasks: Analyse data to drive strategic decisions and improve business performance.
- Company: Fast-growing hospitality tech company focused on data-driven culture.
- Benefits: Competitive salary, 28 days leave, remote work options, and wellness support.
- Other info: Join a dynamic team with opportunities for personal growth and exciting culinary experiences.
- Why this job: Be a key player in shaping a data-driven future in hospitality.
- Qualifications: Strong SQL skills and experience with data analysis and visualisation.
The predicted salary is between 40000 - 50000 £ per year.
Leafe is a fast-growing hospitality technology company helping operators manage compliance, operations, workforce activity, and business performance through one platform.
We are entering an important stage of growth and are preparing to improve our use of product and customer data, and strengthen the way we make strategic decisions.
To support this, we are hiring our first dedicated data role to help build the foundations of a data-driven culture across the business.
About the role
You will be responsible for bringing together data from multiple platforms, building reporting and insight capability, and helping the leadership team make better decisions across marketing, product, revenue, retention, and customer growth.
You will work closely with the CTO and engineering team to access, model, analyse, and communicate business-critical data.
This is a hands‑on role suited to someone who can operate independently, turn broad business questions into clear analysis, and present findings in a way that drives action.
Key responsibilities
- Design, build, and maintain Leafe’s data analytics infrastructure and business intelligence dashboards.
- Bring together data from multiple sources, including product, marketing, sales, Firebase / Firestore, Segment, Amplitude, Google Analytics, and advertising platforms.
- Write clean and efficient SQL queries to extract, join, manipulate, and analyse data.
- Translate strategic business questions into clear analytical projects.
- Analyse customer behaviour, product usage, retention, MRR, conversion, and marketing performance.
- Identify trends, risks, opportunities, and performance insights across the business.
- Support decision-making around marketing spend, customer acquisition, pricing, retention, and product adoption.
- Improve the quality, consistency, and accessibility of data across the company.
- Build clear dashboards and reports for leadership and operational teams.
- Communicate insights clearly to non-technical stakeholders, including senior leadership.
- Help champion data literacy and a data-driven culture across the business.
Essential skills and experience
- Strong SQL skills, with the ability to write clean, efficient queries.
- Experience working with data from multiple systems, platforms, or APIs.
- Ability to clean, structure, and model data for reporting and analysis.
- Experience creating dashboards, reports, or data visualisations.
- Ability to turn broad business questions into clear analysis and recommendations.
- Confident communicating complex data clearly to non-technical stakeholders.
- Commercial awareness and the ability to connect data insights to business outcomes.
Desirable experience
- Experience working in a Saa S, subscription, marketplace, hospitality, or start-up environment.
- Experience with Firebase / Firestore, Segment, Amplitude, Google Analytics, or advertising platforms.
- Experience analysing MRR, retention, conversion, customer cohorts, product usage, or marketing performance.
- Familiarity with BI tools such as Looker Studio, Power BI, Tableau, Metabase, or similar.
- What success looks like
- Clear dashboards and reporting across core business metrics.
- Faster access to reliable product, revenue, and marketing insights.
- Improved visibility of customer behaviour, retention, and conversion.
- Better understanding of marketing effectiveness and return on spend.
- Stronger evidence to support leadership decisions and future funding conversations.
- A more data-driven culture across the business.
- Pay, Holiday and Additional Benefits
- £40k - £50k, based on experience
- 28 days annual leave plus bank holidays.
- Option to work from home on Wednesdays.
- Private counseling and mental health sessions provided.
- Gym or sports membership of your choosing.
- Regularly explore new and exciting restaurants and culinary experiences with the team.
- Learning and personal development allowance.
- Tech and hardware accessories budget.
- Employee stock options scheme.
- Cycle to work scheme.
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Data Analyst in Bristol employer: Leafe
Leafe is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about data and technology in the hospitality sector. With a focus on employee growth, you will have the opportunity to shape the future of data analytics while collaborating closely with leadership and engineering teams. Located in a vibrant area, Leafe offers unique advantages such as flexible working arrangements and a commitment to building a supportive environment for all employees.