At a Glance
- Tasks: Develop and maintain data models to drive decision-making and enhance product performance.
- Company: Join Fresha, the AI-powered OS for the beauty and wellness industry.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team atmosphere with a focus on creativity and problem-solving.
- Why this job: Make a real impact in a fast-paced environment while working with cutting-edge technology.
- Qualifications: Expertise in SQL and experience with data modelling pipelines required.
The predicted salary is between 80000 - 80000 £ per year.
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 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.
- Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work.
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.
Analytics Engineer - London employer: Fresha
Fresha is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Remote Business Development Manager role in Belfast. With a focus on employee growth and autonomy, Fresha offers a unique opportunity to make a significant impact in a fast-paced environment while enjoying the flexibility of remote work. The company prioritises collaboration and provides comprehensive support, ensuring that employees have the tools and resources needed to thrive in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Analytics Engineer - London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fresha, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fresha. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fresha
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fresha!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
