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Data Analyst

3 meses atrás

Lisboa, Lisboa, Portugal FARFETCH Tempo inteiro
FARFETCH exists for the love of fashion.

Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.

We ́re a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers.

This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.

DATA
We ́re a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team who create Data solutions to provide an unrivalled customer experience. Whether it's churning gigabytes of ecommerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth

LISBON
Our Lisbon office is located in Portugal's cosmopolitan capital. In this office, Farfetchers like to have catch-ups in the ball pit or creative moments by the grand piano

THE ROLE


Are you looking for an exciting challenge? This is a phenomenal opportunity to join us in the Retention Analytics team driving the retention of Farfetch's most valuable 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 numerate person who is excited to solve problems by working with big data, interpreting numbers, and consulting with business leads 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.


You will have the opportunity to embrace working in a fast paced environment balancing tactical needs whilst driving strategically for a long-term solution.

You will grow technically by embracing new technologies and analytical techniques to solve complex problems, alongside gaining in-depth knowledge of business channels and driving value in these channels using data.


WHAT YOU'LL DO

  • Ownership of business essential analytical projects that involve analysing complex datasets to produce insights and models that guide strategic decisions
  • Use robust statistical and data methods and visualisations to build analyses
  • Increase efficiency and automate analysis to ensure focus is on new valueadd analysis
  • Challenge your team and partners in meetings to encourage healthy debate and stimulating discussions
  • Continuously learn and raise the bar for quality and rigour of your work
  • Work closely with your manager, team and partner with stakeholders to scope, design, develop, and implement a variety of analytical projects including:
  • Profound analysis to drive strategic decisions
  • Report and understand drivers of customer behaviour and business performance
  • Performance deepdives and optimisation, with a focus on profitability
  • Design and conduct experiments
  • Quantify and challenge hypotheses and assumptions
  • Selfservice dashboards to bring efficiency and automation
  • Define tracking solutions across devices

WHO YOU ARE

  • Degree in statistics, mathematics, computer science or related field
  • You have analytics experience in one or more of the following areas: customer insights, lifetime value, attribution, experimentation, channel analysis, cohort analysis, ecommerce analysis
  • Knowledge of statistical methods including data mining, predictive modelling, and reporting technologies
  • You have a strong working ability with SQL & Excel
  • Knowledge of Python, R, or similar preferred
  • Experience with data visualisation tools is a plus (e.g. Looker, Tableau)Highly confident in dealing with ambiguity and scoping work with keen attention to detail
  • A flexible, approachable attitude with good problem solving skills
  • Fluent in English, both written and spoken

REWARDS AND BENEFITS

  • Health insurance for the whole family, flexible working environment and wellbeing support and tools
  • Extra days off, sabbatical program and days for you to give back for the community
  • Training opportunities and free access to Udemy
  • Flexible benefits program
  • FARFETCH Equity plan
Before Applying