Senior Data Analyst - Maranalytics in London

Senior Data Analyst - Maranalytics in London

London Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Farfetch

At a Glance

  • Tasks: Drive data-driven decisions and optimise marketing performance through experimentation and insights.
  • Company: Join a leading tech company in London's vibrant Old Street area.
  • Benefits: Enjoy flexible working, health insurance, and a collaborative office environment.
  • Other info: Dynamic team culture with opportunities for professional growth and learning.
  • Why this job: Make a real impact by leveraging data to enhance marketing strategies.
  • Qualifications: 3+ years in data analysis, strong SQL skills, and a passion for digital marketing.

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

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.

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.

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.

What You’ll Do

  • 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

  • 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)

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 in London employer: Farfetch

Farfetch is an exceptional employer located in the vibrant tech hub of Old Street, London, offering a dynamic and collaborative work environment. With a strong focus on employee growth, the company provides numerous opportunities for professional development, including access to advanced analytical tools and a flexible hybrid work model. Employees can enjoy a range of benefits such as health insurance, a pension scheme, and a unique work culture that encourages innovation and teamwork, making it an ideal place for those seeking meaningful and rewarding careers in data analytics.

Farfetch

Contact Details:

Farfetch Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - Maranalytics in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've driven data-driven decisions and optimised performance in previous roles.

Tip Number 3

Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart and show that you're genuinely keen on the role.

Tip Number 4

Check out our website for the latest job openings. We’re always looking for talented individuals like you to join our team. Applying directly through our site can give you a better chance of being noticed!

We think you need these skills to ace Senior Data Analyst - Maranalytics in London

Data Analysis
Experimentation
Return on Ad Spend (ROAS) Optimization
Automation of Reporting Processes
Data Integration
Statistical Modelling
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with data-driven decision-making and any relevant tools you've used, like SQL or data visualisation software. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can contribute to our marketing team's success. Be specific about your achievements and how they relate to the role.

Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Include examples of how you've designed experiments or optimised campaigns in previous roles. We love seeing real-world applications of your expertise.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!

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 marketing decisions in the past. Prepare specific examples of experiments you've designed and the insights gained from them.

Showcase Your Communication Skills

This role requires effective communication with various stakeholders. Practice explaining complex data insights in simple terms. Think about how you can convey your findings to both technical and non-technical audiences, as this will be crucial in your interview.

Familiarise Yourself with Tools

Make sure you're comfortable discussing the data visualisation tools mentioned in the job description, like Looker or Tableau. If you have experience with BigQuery or Python, be prepared to share how you've used these tools to enhance decision-making in previous roles.

Stay Updated on Industry Trends

The marketing landscape is always evolving, so show that you’re on top of the latest trends and technologies. Research recent developments in digital marketing analytics and be ready to discuss how they could impact the company’s strategies and performance.