• Location

    London, England

  • Sector:


  • Job type:


  • Salary:

    £550 - £650 per day

  • Contact:

    Experis UK

  • Contact email:

  • Job ref:


  • Published:

    6 months ago

  • Duration:

    6 months

  • Expiry date:


  • Start date:


  • Client:



Analytics Foundations is a multi-year programme of work to improve the ability of Trading Analysts in the company's Integrated Supply and Trading organization to perform high value analytics in support of the trading business.

In 2020 the Analytics Foundations programme plans to implement,

  • Rollout of a best of breed data science platform, integrated with existing market data solutions, to support both python coders and non-coding analysts in the rapid development of high-value analytical models
  • A python based data quality identification and data access solution to significantly improve the options available to the business to access high quality data
  • Enhancements to a custom-built application to support discovery and retrieval of market data using metadata and global analytics "master data" vocabulary
  • Various initiatives to build and maintain critical analytics assets such as data and models.
  • Data science prototypes

As a data scientist & business analyst in the team, you will be accountable for Analytics Foundations programme related business analysis activities and deliverables. You will work in an iterative Scrum/Agile environment and will be expected to engage in activities such as backlog management, sprint planning, daily scrums, reviews and retrospectives.

You will responsible for driving the requirements elicitation, managing stakeholder relationships, business process change, and supporting the Programme Manager in producing content and options for governance conversations with senior stakeholders.

This role will serve as a trusted advisor across Analytics space and will have deep commercial understanding of Market Analytics systems and processes.


Requirements Engineering

  • Elicits requirements at all stakeholder levels - from the head of analytics to the analyst level.
  • Leads and documents requirements workshops.
  • Manages conflict resolution and achieves global consensus.
  • Refines requirements to eliminate ambiguity, conflict and duplication.
  • Models requirements using a structured approach.
  • Produces high quality analysis deliverables, including precise and accurate user story acceptance criteria.
  • Understands system constraints and opportunities to inform design.
  • Works iteratively with development, design and architecture on design options and potential systems and process solutions.
  • Prepares business cases for prioritisation.
  • Uses tools to manage requirements and traceability

Relationship and Stakeholder Management

  • Builds strong business intimacy with commercial partners at all levels.
  • Manages relationships in a global team with a global user community.
  • Supports and manages dependencies with other work streams across IT&S as and when required.


  • Collaborates on the testing activity to provide functional expertise and guidance on test coverage and results.
  • Writes comprehensive test acceptance criteria, ideally using a BDD approach.
  • Leads User Acceptance Testing and obtains user sign off when required.


  • Analyses data flows and models data requirements.
  • Uses SQL to interrogate data.
  • Understanding of data models and database design.
  • Understands complex spreadsheets.


  • Be highly analytical - able to problem solve, absorb large amounts of detail and to see the big picture. Be able to manage conflicting ideas and demands to provide clarity.
  • Be a good communicator - able to deliver a message effectively and concisely at all levels, on both a technical and a business level. Have excellent written and verbal communication skills.
  • Be self-motivated and self-starting - able to work with little supervision and able to pick up new or unfamiliar concepts quickly. Be confident and demonstrate good judgement. Be able to work in a demanding development environment.
  • Domain knowledge - Knowledge of market data management, metadata and analytics; capable of challenging assumptions and driving out the fundamental goals and priorities of the business.
  • Agile working - Practical experience of working in an iterative/Agile development environment (including sprint planning, daily scrums, reviews and retrospectives).


  • Experience in working with market data analysts, quants and data strategy teams on gathering requirements and designing systems for this user group.
  • Experience in toolsets for managing requirements, for example, JIRA, SharePoint, HP Quality Centre, Microsoft TFS, etc.
  • Professional accreditation e.g. Foundation in Business Analysis or ISEB Diploma in Business Analysis, Professional Scrum Master I (Fundamental) Assessment from

Due to the high volume of applications we receive we are not able to get back to everyone who applies. Therefore if you have not heard back from Experis within 7 days please assume that your application has been unsuccessful however we will contact you if suitable roles come up that match your skill set.