Senior Data Analyst

London, United Kingdom Permanent MarketplaceRef: 152

We are on the search for a talented Senior Data Analyst with the ability to work across all business areas including marketing, supplier growth and shopper experience. This is an exciting challenge, of 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.

Our client is on a mission to make the world of design discoverable, affordable and accessible. Their product allows designers and artists to share their creative vision, build a brand and an income generating business, all while enabling them to do what they love.

The role:

  • Developing best-practices around data
  • Helping to discover and understand patterns in data, and recommending product and business decisions based on your analysis
  • Managing data pipelines and working with engineering teams to add new data sources
  • Using quantitative methods to identify insights and opportunities
  • Communicating to cross-functional teams through presentations and dashboards, recommending product and business decisions based on your analysis
  • Turning hypotheses into experiment designs and using statistical tests to assess the impact of product changes
  • Applying statistical and econometric models on terabyte-scale datasets to determine the impact of business decisions on metrics, identifying causal relationships and developing predictive models
  • Driving the end-to-end analysis lifecycle, bringing forward suggestions and impact across the organisation
  • Cultivating a culture of experimentation

You, the Senior Data Analyst:

  • 2-4 years of experience in a Data analyst, Business analyst or similar role
  • Hands-on experience in an analytical role at high-growth startups, finance or consulting firms
  • Bachelors or Masters in Physics, Mathematics, Statistics, Economics, Computer Science or other quantitative discipline field with 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 working in Python or R for data analysis
  • 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
  • Flexibility and adaptability to work in a fast-paced startup

What's on offer:

  • Your choice of hardware, screens etc.
  • Conference and learning budget, support for giving talks and presentations
  • Open sourcing core libraries
  • 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