Analytics Engineer - London

The AI-powered OS for beauty, wellness and self-care

About Fresha

Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices.

Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.

The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.

Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.

Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.

The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.

Location: London (4 days onsite)
Salary: £58-80k p.a. depending on experience

Role overview

Given our exciting and progressive growth plans, we are looking for an exceptional Analytics Engineer to come and join our global business.

Reporting to the VP Analytics, and working collaboratively with Product Managers, Engineers, Analysts and Commercial Leadership, you will be accountable for modelling data to provide clean, accurate data to power both decision-making and the product itself. This involves transforming, testing, and validating data.

This is a great opportunity for someone looking to work in a fast-paced, ever-changing environment who likes to work autonomously, enjoys a challenge, and wants to make an impact.

What you will be doing

• Develop, test, and maintain robust dimensional data models from diverse data sources, including first-party CDC data, data from third-party APIs, SFTPs, and other external data sources

• Enhance the efficiency and performance of data models, focusing on improving ease of use, increasing accessibility of data, reducing runtimes, and eliminating waste

• Build and maintain the highest quality of our data products, both internal and externally-facing

• Advise product development on analytical requirements with new feature releases, and ensure data warehouse incorporates development changes from new feature releases effectively

• Use your knowledge of Fresha's product and data models to analyse the performance of features and support product operations - through analytical queries and dashboards

• Help our commercial and finance teams get accurate, easy-to-use data they need to understand the business by ensuring our data warehouse is in line with our reporting needs

• Develop comprehensive data documentation to maintain consistency in understanding and communication across the team and help effective use of AI tooling

Skills, experience & qualifications required

• Expert knowledge of SQL

• Experience with building and testing high-quality data modelling pipelines

• An understanding of data platform and data warehousing concepts

• Familiarity with modern data stack components - dbt is a must, and at least one cloud warehouse

• Experience in using AI development tools to produce solid code and analytics as part of dev workflows

• An interest in improving the performance and efficiency of data models and systems, with support and guidance from senior team members

• A desire to contribute to product development decisions through data architecture best practices and analytical insights

Bonus points:

• Experience in driving product decisions and taking ownership of features

• Familiarity with the following systems: Fivetran, Airflow, Snowflake, Plotly, Starrocks, Metabase

• Experience in writing ELT pipelines with SQL and Python

• Use of Claude Code, including MCPs for data reading and skills for common workflows

• Experience working in fast-paced companies

Inclusive workforce

At Fresha, creating a culture where individuals of all backgrounds feel comfortable matters.

We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.

We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.

If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.