Senior Data Analyst London, England
Job description
Fy! is an art, home and living marketplace that lets people discover, create and shop for their home - leveraging unique generative AI-powered shopping experiences that are personalised ‘For You!’
Our vision is to help everyone feel great about their home. For designers, artists and brands, Fy! is a way to share their creativity and generate an income. Fy! lets them build a brand, a business, and a life doing what they love.
Generative AI is transforming how people shop home & living and we’re the first mover globally in this $800bn market. One of Europe's fastest-growing consumer brands, we are an ambitious team of creators, designers, analysts and coders split between offices in London, Berlin and Zoom. We're backed by top European & US VCs and angels who've previously worked or invested in businesses such as Deliveroo, Thread, Instacart, Superawesome and ASOS to name a few.
The Challenge:
We believe in making data-informed decisions and are searching for a talented and curious Senior Data Analyst to work with us to achieve this. You will work across all business areas including marketing, supplier growth and shopper experience, applying your skills to problems in a multi-faceted marketplace. If you’re passionate about leveraging data to drive efficient growth, we want to hear from you. You will help to discover and understand patterns in our data, recommend product and business decisions based on your analysis and help build a culture of experimentation.
What you'll do:
- Develop best practices around data and play a key role in the management and analysis of the data processed at Fy!
- Produce useful insights that help guide our strategy and measure our KPIs
- Manage data pipelines and work with engineering teams to add new data sources.
- Use quantitative methods to identify opportunities and surface insights.
- Communicate findings to cross-functional teams through presentations and dashboards, and recommend product and business decisions based on your analysis.
- Turn hypotheses into experiment designs and use statistical tests to assess the impact of product changes.
- Apply statistical and econometric models on terabyte-scale datasets to determine the impact of business decisions on metrics, identify causal relationships and develop predictive models.
- Self-start, drive and take ownership of the end-to-end analysis lifecycle bringing forward suggestions and impact across the organisation.
What you bring:
- Collaborative approach and good relationship builder - with proven experience of stakeholder engagement and a reputation of strategic thinking
- 3-5 year(s) of experience in a Data Analyst, Business Analyst or similar role using SQL and/or Python/R for data analysis.
- Experience working cross-functionally with back-end and data engineers + product teams to implement and maintain a clearly defined data warehouse of key metrics
- Experience supporting set-up and analysis of user experiments in a fast-growing VC-backed, B2C scale-up.
- Bachelors or Masters in Physics, Mathematics, Statistics, Economics, Computer Science or another quantitative discipline field with a strong academic record.
- Outstanding analytical ability, communication, and presentation skills.
- Demonstrable experience of using data insights to drive business and operational goals.
- Mastery of Excel and SQL and a strong understanding of data relationships.
- Experience using a visualisation tool such as Tableau, Power BI or Looker (we use Looker)
- Familiarity with modern software development practices and tools (e.g. Git, unit testing, Docker and cloud platforms).
- Understanding of marketing/lifecycle attribution frameworks, retention, and LTV.
- Strong written and verbal communication (English).
- Flexibility and adaptability to work in a fast-paced startup.
What we offer:
- Family-friendly office hours and working culture.
- Established business with a clear pathway and resources to grow.
- Generous staff discount - fill your home with awesome designer gear!
- Absolute bare minimum of meetings. Prepare for a clear calendar.
- Want to work in a specific way? We're flexible and want you to be comfortable, happy and productive as part of the team
Application process
- 20-minute call with Finance Director
- 30-minute interview with Head of Data
- Take home case study and present to the team
- Final Interview with CEO
Job Types: Full-time, Permanent
Salary: £65,000.00-£75,000.00 per year
Benefits:
- Company events
- Employee discount
- Employee stock ownership plan
- Flexitime
- Sabbatical
- Sick pay
- Store discount
- Work from home
Schedule:
- Flexitime
- Monday to Friday
Ability to commute/relocate:
- London: reliably commute or plan to relocate before starting work (preferred)
Education:
- Bachelor's (preferred)
Work Location: Hybrid remote in London
Reference ID: Senior Data Analyst
