Senior Analytics Engineer (London)

Senior Analytics Engineer (London)

About Fresha

Fresha is the leading AI-powered operating system for the global beauty and wellness industry, giving businesses everything they need to run smarter, grow faster and build stronger client relationships.

In May 2026, Fresha secured an $80M growth investment from KKR at a valuation of $1B , officially reaching unicorn status and bringing total funding raised to $285M. Already profitable, Fresha is using this investment to accelerate global expansion and drive the next generation of AI and product innovation.

Today, Fresha operates at global scale, with offices across Europe, North America, the Middle East and Asia Pacific. Our platform is trusted by 130,000+ beauty and wellness businesses across 120 countries , with more than 1.5 billion appointments booked to date.

Our mission is simple: help beauty and wellness businesses grow by giving them the technology they need to attract clients, manage their operations and run their business in one place.

We’re continuing to scale rapidly across markets, teams and products, making this an exciting time to join us.

Role Overview

Senior Analytics Engineer | The Bower, 207-211, Old St, Tower, London EC1V 9NR | Four days in office, Wednesdays remote

Salary: £70,000 - £100,000 + ESOPs

Reporting to: VP Analytics

Direct reports: NA

Function: Analytics

We are looking for an exceptional Senior 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 modeling data to provide clean, accurate datasets to empower internal and external stakeholders with reliable data. This involves transforming, testing, and validating data from a wide variety of sources to create a comprehensive view of Fresha.

This person will mainly be working with our Commercial and Growth analysts, converting their needs for accurate, easy to use commercial metrics for budgeting, revenue, forecasts, sales performance and accounting into dbt models and other types pipelines. It would suit someone with an interest in commercial teams and who wants to get involved in GTM strategy and revenue growth initiatives.

This is a great opportunity for someone looking to work in a fast-paced and 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 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

Establish and maintain ELT pipelines for our warehouse, mainly around Fresha’s commercial and marketing metrics, applying best practices in data integration, management, and governance

Advise product development on any analytical implications of new feature releases

Coach other engineers and analysts to get the most from our data models and maintain a codebase for the long term

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

Develop comprehensive data documentation to maintain consistency in understanding and communication across the team.

Skills, experience & qualifications required

Excellent knowledge of SQL and a firm understanding of data modeling concepts

Deep familiarity with mature dbt projects across the full lifecycle of development and deployment

Understanding of data warehousing systems, cost drivers, configurations, security and best practices

Exposure to or familiarity with streaming and batch data ingestion systems

Demonstrable experience in improving the performance, efficiency and usability of data models

Experience translating business requirements from non-technical data users and downstream analytical teams into data pipelines

Enjoyment in collaborating broadly with a range of different people and abilities, including coaching more junior engineers in their practices

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

Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work

Bonus points:

Familiarity with the following systems: Fivetran, Airflow, Snowflake, dbt and Plotly

Experience working in fast-paced b2b SaaS or consumer marketplaces

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.