Lead Data Analyst/Analytics Manager
UK London
Farfetch
Farfetch bietet die weltweit größte Auswahl an Luxusmode für Damen und Herren. Shoppen Sie die aktuellen Kollektionen von internationalen Designern und Labels auf einer Webseite.MARKETINGWe're a diverse team of Marketing professionals, spanning artistic and scientific expertise. We're driven to amaze our global community of customers through our data-driven approach, revolutionary spirit, test-and-learn culture and collaborative style.
LONDONOur office is located in Old Street, London's tech hub. With an open-plan space, ideal for collaborative working, an outdoor terrace for a team lunch, or a dedicated studio for a yoga class.
THE ROLEThis is a phenomenal opportunity to join us in the Central Customer Data Analytics team, driving growth and optimisation through the delivery of customer-centric insights and strategies to drive long-term loyalty within our top spending Private Client customers. You will have the exciting and rare chance to work in a fast-paced environment taking our business to the next level. We are looking for a highly numerate person who is excited to solve business problems by working with big data, interpreting numbers, and consulting with business leaders on translating insights into real actions and solutions based on commercial objectives. This role is for someone who is self-driven, independent, and wants to drive significant impact. Reporting to the Senior Analytics Manager you will have the opportunity to embrace leading a team and being involved in scoping its vision. You will be a thought leader in how we leverage analytical techniques and new technologies to solve complex problems. You will gain in-depth knowledge of our business and drive value in our business using data.
WHAT YOU'LL DO
- Ownership of analytics for our top spending Private Client customers where you will independently drive multiple strategic initiatives that you'll be shaping
- Leading business critical analytical projects that involve analysing complex datasets in order to produce insights and models that drive strategic decisions
- Lead and manage a small team and ensure each individual's success and development
- Collaborate with key business partners to identify key questions and manage expectations
- Work closely with the team and business partners to scope, design, develop, and implement a variety of analytical projects, including:
- Comprehensive analysis to drive strategic decisions
- Finding innovative ways to understand and action on business questions
- Quantifying and challenging hypotheses and assumptions
- Championing test and learn
- Reporting and understanding drivers of business performance
- Examples include:
- Impact of a personal stylist
- How can we incentivize stylists to drive incremental sales through their commissioning scheme?
- If a stylist leaves, what is the impact on revenue?
- Customer lifecycle
- Who has potential to be a Private Client?
- How can we drive customers to spend into the Private Client tier more quickly?
- Understanding which Customers have recently lapsed, and who has the propensity to lapse in the future
- Onsite behaviour
- How can we optimise and personalise the onsite experience across web and app to drive incremental sales?
- Ensure robust statistical and data methods are used to build analyses across the team
- Improve efficiencies and automate analysis to ensure focus is on new value-add analysis
- Challenge your team and business partners in meetings to encourage healthy debate and stimulating discussions
WHO YOU ARE
- Degree in economics, statistics, mathematics, computer science or related field
- You have analytics experience in customer behaviour, lifetime value, segmentation, experimentation, cohort analysis, etc.
- Knowledge of statistical methods including data mining, predictive modelling, and reporting technologies.
- You have working ability with SQL & Excel
- Knowledge of Python, R, or similar preferred
- You have proven analytics work experience with knowledge of digital marketing
- You have managed/mentored others
- Highlyconfident in dealing with ambiguity and scoping work with keen attention to detail
- A flexible, approachable attitude with good problem solving skills
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Consulting Data Analytics Data Mining Economics Excel Mathematics Python R SQL Statistics
Perks/benefits: Career development Flex hours Yoga
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