Data Analysts


Company:	Mady Holiday Home Limited
Salary:	£35,000 to £40,000 a year
Hours:	Full-time
Location:	Fife
Working pattern:	On-site
Job type:	Permanent
Posting date:	7 Sept 2026
Closing date:	30 Sept 2026

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Summary

This is a commercially focused Data Analyst position.

You will analyse data from our booking channels and internal systems to help management understand performance, improve pricing decisions, increase revenue and maximise profitability.

A particularly important part of the role will be pricing and revenue analysis. You will use historical and current booking data, occupancy, demand, seasonality, booking patterns and market information to help determine the most effective pricing strategies for our properties.

The role will also involve contributing to the development of our own booking and accommodation-management platform, which is currently being developed as part of the company's growth strategy.

Key Responsibilities

Analyse booking, occupancy, revenue and operational data across our accommodation portfolio.

Analyse data from 17+ booking and distribution platforms.

Monitor performance across Airbnb, Booking.com, Vrbo, Your.Rentals and other platforms.

Develop data-driven pricing and revenue strategies.

Analyse demand, seasonality, booking patterns and occupancy to recommend pricing changes.

Identify opportunities to increase revenue and improve overall profitability.

Compare performance and profitability across different booking channels.

Analyse commissions, cancellations, booking lead times and length of stay.

Produce regular management reports and dashboards.

Develop revenue and occupancy forecasts.

Identify trends, anomalies and opportunities within business data.

Clean, validate and consolidate data from multiple sources.

Automate repetitive reporting and data-processing tasks using Python.

Work with APIs and structured data where required.

Analyse guest reviews and other operational information to identify trends.

Provide clear, commercially useful recommendations to management.

Support business planning, budgeting and forecasting.

Develop analytical tools and processes to improve decision-making.

Carry out ad-hoc analysis and commercial research as required.

Pricing & Profitability

A major responsibility of this position will be helping the company maximise revenue and profit through data-driven pricing decisions.

You will be expected to analyse factors such as:

Occupancy levels

Booking demand

Seasonal trends

Advance booking patterns

Length of stay

Cancellation rates

Property performance

Booking-channel performance

Competitor and market pricing

Platform commissions

Net revenue

The objective is to ensure that our properties are priced competitively while maximising the financial return to the business.

You will present your findings and recommendations to management and monitor the results of pricing decisions.

Month-End Requirement

The role includes a specific month-end reporting responsibility.

You will be required to work on the last Saturday of every calendar month to ensure that booking, revenue, occupancy, pricing and operational data for the month has been collected, checked and compiled for management reporting.

This is a planned part of the role's normal working pattern and working hours.

Essential Skills & Experience

We are looking for someone with:

Previous professional experience in data analysis, business analysis, revenue analysis or a related analytical position.

Strong analytical and numerical skills.

Excellent Excel/spreadsheet skills.

Practical Python programming experience.

Practical Git/GitHub experience.

Experience working with and analysing large datasets.

Experience cleaning and transforming data.

Ability to identify trends and patterns in business data.

Ability to produce clear management reports.

Strong attention to detail.

Ability to turn data into practical commercial recommendations.

Good written and verbal communication skills.

Ability to work independently and meet deadlines.

Willingness to work on the last Saturday of each month as part of the month-end reporting process.

Qualifications

A degree or equivalent qualification in a relevant subject such as:

Data Analytics

Business Analytics

Computer Science

Statistics

Mathematics

Economics

Information Systems

Business Intelligence

Relevant professional experience and demonstrated technical ability will also be considered.

Salary & Benefits

£35,000 – £40,000 per annum, depending on relevant experience, qualifications and technical skills.

This is an opportunity to join a growing business where your analysis will have a direct impact on pricing, revenue, profitability and future technology development.

You will have the opportunity to work with real-world data from multiple international booking platforms and contribute to the development of our own technology platform.

Right to Work & Sponsorship

Candidates who already have the right to work in the UK without employer sponsorship will be prioritised where candidates are otherwise equally qualified and suitable for the position. Skilled Worker sponsorship may be considered for a suitable candidate.

However, Skilled Worker visa sponsorship may be considered for a suitable candidate, subject to the candidate, role and salary meeting all applicable UK immigration requirements.

All applicants will be assessed fairly based on their qualifications, skills, experience and suitability for the position.

How to Apply

Please submit your CV together with a short covering letter explaining in the same file :

Your data-analysis experience.

Your experience using Python.

Your experience with Git/GitHub.

Your experience working with APIs, databases or data automation, if applicable.

Any experience with pricing, revenue management, forecasting or hospitality data.

Candidates may be asked to complete a practical data-analysis or Python assessment as part of the recruitment process.

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