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About Leafe and the Role

Leafe is an expanding hospitality technology firm focused on simplifying compliance, operations, workforce activity, and business performance via an integrated platform. As the company enters a key growth phase, it seeks to enhance its use of product and customer data and reinforce strategic decision-making through data. To support this endeavor, Leafe is recruiting its first dedicated data analyst to establish a data-driven foundation across the organization.

Key Responsibilities

Develop, implement, and sustain Leafe's data analytics systems and business intelligence dashboards.
Aggregate data from diverse sources such as product tools, marketing, sales data, and platforms including Firebase/Firestore, Segment, Amplitude, Google Analytics, and advertising channels.
Create precise and efficient SQL queries for data extraction, combination, manipulation, and analysis.
Convert broad business inquiries into specific analytical projects.
Evaluate customer behavior, product usage patterns, retention rates, monthly recurring revenue (MRR), conversion metrics, and marketing outcomes.
Detect business trends, potential risks, opportunities, and performance insights.
Assist in guiding decisions related to marketing budgets, customer acquisition strategies, pricing models, retention initiatives, and product adoption.
Enhance data quality, uniformity, and accessibility throughout the company.
Design clear, actionable dashboards and reports tailored for leadership and operational teams.
Effectively communicate analytical insights to stakeholders without technical backgrounds, including senior management.
Promote data literacy and nurture a culture driven by data insights across the organization.

Required Skills and Experience

Proficient in SQL with the capability to compose clean and efficient queries.
Experience handling data from multiple systems, platforms, or APIs.
Skilled at cleaning, structuring, and modeling data for effective reporting and analysis.
Experienced in building dashboards, reports, or data visualization tools.
Adept at transforming broad business questions into focused analyses and actionable recommendations.
Capable of explaining complex data findings clearly to non-technical audiences.
Strong commercial awareness linking data-derived insights to tangible business outcomes.

Preferred Experience

Background in SaaS, subscription-based services, marketplaces, hospitality, or startup environments.
Familiarity with Firebase/Firestore, Segment, Amplitude, Google Analytics, and online advertising platforms.
Experience analyzing MRR, retention, conversion rates, customer cohorts, product engagement, or marketing performance metrics.
Knowledge of business intelligence tools like Looker Studio, Power BI, Tableau, or Metabase.

Success Indicators

Availability of clear dashboards and reporting covering main business KPIs.
Quicker access to dependable insights about product usage, revenue, and marketing.
Improved transparency around customer behavior, retention, and conversion rates.
Enhanced understanding of marketing efficacy and return on investment.
Stronger data to underpin leadership decision-making and future investment dialogue.
Development of a deeply embedded data-driven culture within the organization.

Compensation and Benefits

Annual salary between £40,000 and £50,000 based on experience.
28 days of paid vacation plus recognized bank holidays.
Work from home option available every Wednesday.
Access to private counseling and mental health support sessions.
Gym or sports membership of choice provided.
Team activities including exploration of new dining and culinary experiences.
Allowance for learning and personal growth.
Budget allocation for technology and hardware accessories.
Employee stock options scheme participation.
Cycle to work program enrollment.

Data Analyst

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