Analytics Engineer
London
Analytics & Data Science – Analytics Engineer /
Full-time /
On-site
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 Lead 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 proprietary RDBMS data, data from third-party APIs, SFTPs, and external data sources
- Enhance the efficiency and performance of data models, focusing on improving fitness-for-purpose, increasing accessibility of data, reducing runtimes, and eliminating waste
- Establish and maintain ETL pipelines for our Snowflake Data Warehouse, adhering to the best practices in data integration, management, and protection of personally identifiable information
- Advise engineering leaders on analytical requirements with new feature releases, and ensure data warehouse incorporates development changes from new feature releases effectively
- Collaborate with data analysts to build new data models, ensuring that they are implemented effectively and efficiently.
- 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.
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from the office four days per week, with the flexibility to work remotely one day each week.
What we are looking for
- Strong experience with SQL and a solid understanding of dimensional data modeling. Specific experience with DBT highly preferred but not required
- Proficiency in data platform concepts and data warehousing
- Hands-on experience with modern data stack components
- Demonstrated ability in improving the performance and efficiency of data models and systems
- Exceptional communication skills with the ability to influence and engage with a diverse range of stakeholders
- Demonstrated track record of guiding product development decisions based on data architecture best practices and analytical insights
- Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work
Added bonus
- Components used in our Data Stack: Fivetran, Prefect, Snowflake, dbt and Periscope
- Experience in writing ETL pipelines with SQL and Python, using orchestration tools like Airflow or Prefect
- Experience working in fast-paced venture-backed startup environments
At Fresha, we value passion and potential as much as specific skills. If you're enthusiastic and eager to learn, we encourage you to apply, even if you don't meet every listed requirement. We believe in fostering growth and providing the support needed for you to excel in your role.
- Screen call - Video-call with a member from the Talent Team - 30m
- 1st Stage - Video-call with Hiring Manager - 45m
- 2nd Stage - Video-call with Hiring Team - 45-60m
- Presentation - In-person with Hiring Team - 60-90m
We aim to finalise the entire interview process and deliver feedback within 3 weeks.
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe.
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.
