Junior Analytics Engineer

About Fresha

Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide.

Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.

The company is headquartered in London, United Kingdom, with global offices located in New York City, Vancouver, Sydney, Dubai, Riyadh, Amsterdam, Warsaw and Pristina.

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 subscription-free 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.

Role overview

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 modeling data to provide clean, accurate datasets to empower internal and external stakeholders with reliable data. This also entails transforming, testing, and validating data.

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 Snowflake Data Warehouse, adhering to the best practices in data integration, management, and protection of sensitive information
• 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.




This list is not exhaustive and there may be other activities you are required to deliver.

Skills, experience & qualifications required

• Good knowledge of SQL and an introductory understanding of data modeling concepts. Willingness to learn more advanced techniques such as dimensional modeling. Familiarity with DBT is a plus but not required
• An understanding of fundamental data platform concepts and an eagerness to develop expertise in data warehousing
• Exposure to or familiarity with modern data stack components
• 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 learn how 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:

• Familiarity with the following systems: Fivetran, Airflow, Snowflake, dbt and Periscope Data
• Experience in writing ELT pipelines with SQL and Python
• Experience working in fast-paced companies

Inclusive workforce

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

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 on 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.