Business Analyst - Data Science

28 Mar 2018
25 Apr 2018
Contract Type
Full Time
ASOS is one of the UKs top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do. We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. Our award winning Tech teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions, which are crucial to our continued success. Were extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow


ASOS is the UKs number one fashion and beauty destination, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do. Our award-winning tech teams sit at the heart of our business delivering technical innovations and pioneering incredible solutions to delight our customers. We use a cutting-edge cloud-based architecture to support our global reach and the agile engineering methods to deliver value fast. Were extremely ambitious and thrive on the individuality of our amazing employees.

We are building ASOS' next generation personalisation and recommendation platform " a unique Big Data infrastructure which will ingest and serve massive amounts of data for complex real-time processing, leveraging the latest technologies at web-scale.

As a Data Science Business Analyst at ASOS you will discover, delve into, and analyse rich data and use it to direct the decisions about the future of ASOS. You will use your investigative nature and problem-solving skills to understand how data and technology drives our business forward and you will innovate new ways that enable us to gain a competitive advantage by understanding the masses of information available to us. This is a rare opportunity to join an incredibly successful and dynamic business. Want to be a part of a great success story but still have the freedom to explore new and better ways of doing things? Get in touch

  • Work with the technical product manager, the data scientists and various business stakeholders to identify and define the business problem and business case
  • Elicit, analyse, validate, consolidate and prioritise the high-level requirements using appropriate definition techniques
  • Communicate the specifications using appropriate documentation and modelling techniques
  • Collect and validate the non-functional requirements, including performance, implementation design, usability, security & audit, and appropriate legislative requirements
  • Lead the refinement of the requirements and business solution definition, including acceptance criteria working closely with the key stakeholders
  • Assist data scientists and product managers in designing large scale experiments to test hypotheses and drive product development forward
  • Support QA activities by ensuring acceptance criteria are well documented and have the appropriate level of coverage
  • Collaborate with the agile delivery manager and the product managers to plan post implementation assessments, benefits tracking and realisation " this includes supporting the business during warranty and ensuring that any defects or enhancement requests are well defined and prioritised appropriately
  • Work in an agile, cross functional team taking responsibility for delivering big data products
  • Be part of our Tech-wide business analysis community


  • Significant experience of gathering and documenting high quality business requirements, interacting with business stakeholders through workshops, interviews & meetings, and written communication
  • Proven experience of working closely with business stakeholders and IT teams to deliver robust and efficient solutions
  • Knowledge of RDBMS, ETL and Data warehouse technologies as well as NoSQL databases
  • Experience of data analysis and data profiling
  • Experience of producing data mappings from source to target
  • Understanding of big data technologies and data science concepts:
  • Experience with large datasets whether it is structured or unstructured data
  • Understanding of Data Lake, Data Preparation and Feature Generation concepts
  • Good understanding of statistics and basic understanding of machine learning and model creation

Nice to Have
  • Computer Science, Maths or similar degree
  • ISEB/BCS Business Analysis Certification
  • Exposure to cloud platforms, notably Microsoft Azure
  • Experience in retail and/or e-commerce

  • Generous salary, bonus and pension matching
  • Great development programmes
  • Amazing offices and great culture
  • 25 days holiday plus one extra day for your birthday
  • Subsidised gym and canteen
  • Huge staff discount and regular sample sales
  • Life Insurance, medical care, cycle to work scheme
  • And tonnes more

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