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Job

Technical data Architect

  • Location

    London

  • Sector:

    Technology

  • Job type:

    Permanent

  • Salary:

    Flexible Based on Experience

  • Contact:

    Tsung Mo

  • Contact email:

    t.mo@hamlynwilliams.com

  • Salary high:

    0

  • Salary low:

    0

  • Published:

    about 1 month ago

  • Expiry date:

    2020-12-24

  • Startdate:

    ASAP

A fantastic opportunity has arisen to join and lead the development of my clients’ Healthcare Digital and Data Analytics solution as a Technical Data Architect based in the UK.

If you are knowledgeable, passionate about leading and working with data, developing and implementing new models and solutions then this is the perfect role for you!

A successful Technical Data Architect will be joining a market-leading multinational organisation that is excited about expanding their team.

The skilled Technical Data Architect will be responsible for:

  • Development, publishing and maintenance of Dashboards
  • Design, development and implementation of Data Strategy
  • Rapid development of proofs of concepts
  • Interactive data visualisation, presentation and reporting
  • Cloud-enabled analytical services
  • Cost-benefit analysis/financial planning
  • ETL - Database development, Data blinding
  • Analytics training

The skilled Technical Data Architect will need:

  • Experience in leading complex programmes of work
  • Deep analytics and/or consulting experience
  • Deep understanding and experience of supporting business development process, including: responding to request for proposals and formally pitching for work
  • A proven track record of delivering complex analytical products
  • Quantitative degree (Maths, computer science) or equivalent experience
  • Data modelling experience – SQL, Access
  • Visualisation experience – PowerBi/QlikView/Tableau
  • Sales experience including a track record of supporting revenue growth
  • Experience in proposition development and taking ideas to market
  • Experience in performance management and developing and retaining talent,
  • Experience in leading multiple analytics/modelling and or data strategy engagements simultaneously
  • Strong knowledge of analytics, decision science, and strategy concepts
  • Knowledge of analytics services, products, and key concepts