Senior Data Analyst (Commercial)
London
Analytics & Data Science – Analytics /
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 Senior Data Analyst (Commercial) to come and join our global business.
In this role, you'll be instrumental in driving our revenue growth, enhancing profitability, and identifying commercial opportunities across sales, marketing, operations, and product divisions.
Reporting to the Lead Commercial Analyst and collaborating closely with Engineers, other Analysts, and Commercial teams, you'll be developing data models, metrics, and insights that fuel our growth and open up new perspectives.
This role is perfect for someone who thrives in a fast-paced environment, enjoys independent work, loves a challenge, and is eager to make a significant impact.
What you will be doing
- Effective Collaboration: Work closely with commercial, marketing, engineering, and even product teams to make an impact. Your role involves engaging with various stakeholders, integrating your analysis into their daily decisions, and understanding their diverse objectives and perspectives.
- Influential Storytelling: You'll be turning complex analyses into compelling, actionable insights, persuading others to act on your findings.
- Outcome Measurement: Develop metrics from complex commercial, product, and customer workflows to identify opportunities and inform decision-making at all levels.
- Automation and Modelling: Experience in automating reports and metrics is essential for providing timely, intervention-free data access.
- Tool Mastery: As part of a nimble company, you’ll need to be comfortable diving into various tools and setting them up to extract the insights we need.
- Adapting to Change: Stay in tune with our commercial and marketing teams, ensuring our data models and strategies remain aligned with operational processes.
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
- Proven experience in developing and implementing growth analytics strategies with commercial, marketing, sales, or product teams.
- Expertise in transforming complex analyses into persuasive insights for decision-making.
- Advanced skills in data analysis, particularly with SQL.
- Proficiency in dbt.
- Familiarity with data modelling practices and pipeline development.
- Extensive experience with BI/visualisation tools.
- Experience working with cloud data warehouses.
Added bonus
- Proficiency in dbt.
- Skills in Python/R.
- Experience with Fivetran, Prefect, Snowflake, and Periscope.
- Familiarity with writing ETL pipelines using SQL and Python, and orchestration tools like Airflow or Prefect.
- Background in experimentation.
- Experience 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.
Interview Process
- 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.
