Given our exciting and progressive growth plans, we are looking for an exceptional Analytics Engineer, Product to come and join our global business.
Reporting to the Senior Analytics Engineer, 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 also entails transforming, testing, and validating data.
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
Build and maintain the highest quality of our data products, both internal and external
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
Develop comprehensive data documentation to maintain consistency in understanding and communication across the team.
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
An interest in improving the performance and efficiency of data models and systems, with support and guidance from senior team members
Good communication skills in English (C1 or higher), with a willingness to collaborate with team members and stakeholders to understand requirements and share progress
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
Responsible AI tool proficiency - use AI to deliver impressive and reliable results, maintaining control
Good Polish language skills
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
Experience working in fast-paced companies
Experience in fine-tuning and controlling AI tools
Fresha is the world’s leading marketplace platform for the beauty, wellness, and self-care industry, trusted by millions of consumers and businesses worldwide.
For consumers, Fresha offers a seamless way to discover, book, and pay for beauty and wellness services with top local professionals. For businesses, Fresha provides an all-in-one platform that streamlines operations, from appointment management to client engagement, helping them grow effortlessly with powerful business software, integrated payments, financial services and cutting-edge technology solutions.
Fresha’s comprehensive ecosystem empowers businesses and professionals with everything they need to operate seamlessly and efficiently. From appointment bookings, point-of-sale, client management, and marketing automation to loyalty programs, inventory management, and team coordination, Fresha provides an all-in-one solution designed to drive business growth.
Fresha’s consumer marketplace helps businesses unlock their full revenue potential by maximizing online bookings and leveraging automated marketing tools. Through seamless integrations with major platforms like Instagram, Facebook, and Google, businesses can attract more clients while Fresha’s mobile apps ensure a smooth booking experience.
Today, 130,000+ businesses and 500,000+ professionals rely on Fresha, with over 1 billion appointments processed to date. Headquartered in London, United Kingdom, Fresha has a global presence with offices in New York City, Orlando, Vancouver, Madrid, Paris, Amsterdam, Warsaw, Sydney, Singapore and Dubai.
