Senior Data Analyst - MarAnalytics

Senior Data Analyst - MarAnalytics

Full-Time 50000 - 60000 £ / year (est.) Home office (partial)
Farfetch

At a Glance

  • Tasks: Drive data-driven decisions and optimise marketing performance through experimentation and insights.
  • Company: Farfetch, a leading global luxury fashion marketplace with a vibrant culture.
  • Benefits: Flexible work environment, health insurance, and a pension scheme.
  • Other info: Collaborative workspace in London's tech hub with excellent career growth opportunities.
  • Why this job: Join a dynamic team and make a real impact in the luxury fashion industry.
  • Qualifications: 3+ years in data analysis, strong SQL skills, and experience with data visualisation tools.

The predicted salary is between 50000 - 60000 £ per year.

Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.

MARKETING

The Marketing team is data-driven and results-oriented, focused on achieving measurable outcomes across all digital advertising and marketing channels. Growth is a key performance indicator, and they constantly optimize for return on ad spend.

LONDON

Our office is located in Old Street, London's tech hub. Our open-plan space is ideal for collaborative working. When you're not doing what's never been done, you can enjoy a team lunch on our large outdoor terrace, or join a yoga class in our dedicated studio.

THE ROLE

This is an exciting role for a skilled and experienced Senior Data Analyst to drive data-driven decision-making across the organization. This role will focus on experimentation, measurement, and delivering actionable insights to optimize performance and enhance business outcomes.

  • Design, execute, and optimize experiments across paid marketing channels, leveraging data-driven methodologies to increase ROAS.
  • Continuously refine experimentation frameworks to identify growth opportunities and enhance performance.
  • Proactively identify opportunities to automate reporting processes, improve efficiency, and reduce manual effort.
  • Integrate and analyse data from diverse internal and external sources to uncover acquisition, retention, and optimization opportunities for paid marketing channels.
  • Provide actionable recommendations to improve campaign effectiveness.
  • Effectively communicate insights, analyses, and recommendations to stakeholders at all levels, from marketing teams to senior leadership.
  • Build and implement statistical models to forecast demand, measure sales incrementality, and assess the impact of key marketing initiatives.
  • Leverage advanced analytical techniques to enhance decision-making and drive strategy.
  • Stay updated on industry trends, new analytical tools, and marketing technologies.
  • Apply this knowledge to improve existing processes, adopt innovative solutions, and maintain a competitive edge.

WHO ARE YOU

  • A professional with 3+ years of experience in a data role, preferably in an internet company;
  • Strong analytical and quantitative skills; experience using data and metrics to test theories, confirm assumptions, and measure success;
  • Expert in SQL. BigQuery experience is a plus;
  • Familiar with data visualisation tools such as Looker, Tableau, Google Analytics, Data Studio, PowerBI or Microstrategy;
  • Degree educated. A quantitative field is considered a bonus;
  • Advanced Excel knowledge;
  • Advanced in English, both written and oral;
  • Excellent written and oral communication;
  • Using R or Python for statistical modelling is a plus;
  • Experience in Digital Marketing and Retention Analytics is a plus;
  • Curious about learning and applying data science to solve business problems.

REWARDS & BENEFITS

  • Employee Pension Scheme
  • Flexible Benefits Program
  • Health Insurance & Critical Illness cover
  • Flexible work environment- Hybrid Model (3 days a week from the office, 2 days from home)

EQUAL OPPORTUNITIES STATEMENT

Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

Senior Data Analyst - MarAnalytics employer: Farfetch

Farfetch is an exceptional employer, offering a vibrant work culture in the heart of London's tech hub. With a focus on employee growth and collaboration, the company provides flexible working arrangements, comprehensive health benefits, and opportunities for professional development, making it an ideal place for those looking to thrive in the luxury fashion industry.

Farfetch

Contact Details:

Farfetch Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - MarAnalytics

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Farfetch. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Prepare for interviews by diving deep into data-driven marketing strategies. Brush up on your SQL skills and be ready to discuss how you've used data to drive results in past roles.

Tip Number 3

Showcase your analytical prowess! Bring examples of how you've optimised campaigns or improved processes using data. Real-life stories resonate more than just buzzwords.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!

We think you need these skills to ace Senior Data Analyst - MarAnalytics

Data Analysis
SQL
BigQuery
Data Visualisation
Looker
Tableau
Google Analytics

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, data visualisation tools, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our goals at Farfetch. Keep it engaging and personal – we love a bit of personality!

Showcase Your Analytical Skills:In your application, don’t just list your skills; demonstrate them! Include examples of how you've used data to drive decisions or improve processes in previous roles. We’re all about data-driven insights here at StudySmarter.

Apply Through Our Website:We encourage you to apply through our official careers website. It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at Farfetch

Know Your Data Inside Out

As a Senior Data Analyst, you'll need to demonstrate your analytical prowess. Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in previous roles. Prepare specific examples of how you've optimised campaigns or improved ROAS using data-driven methodologies.

Showcase Your Communication Skills

This role requires you to communicate insights effectively to various stakeholders. Practice explaining complex data concepts in simple terms. You might even want to prepare a mini-presentation on a past project to showcase your ability to convey actionable recommendations clearly.

Stay Current with Industry Trends

Farfetch values innovation, so make sure you're up-to-date with the latest analytical tools and marketing technologies. Be prepared to discuss recent trends in digital marketing and how they could impact the business. This shows your passion for the field and your commitment to continuous learning.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Think about scenarios where you've had to refine experimentation frameworks or automate reporting processes. Practising these types of questions will help you articulate your thought process and decision-making skills during the interview.