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Data Analytics Consultant

Employer
Experis IT
Location
London
Salary
50000.00 - 55000.00 GBP Annual + Car allowance
Closing date
15 Oct 2021

View more

Employer Sector
Technology, ICT & Telecoms
Contract Type
Permanent
Hours
Full Time
Travel
None

Data Analytics (Visualisation) Consultant

Salary Negotiable up to: GBP55,000 plus benefits

My client is a global leader in digital transformation and is looking for an experienced Data Analyst to provide digital services to their clients. By working as a consultant this role would help to design the future of the information space. They are passionate about improving the digital capabilities of the world around them and are seeking like minded individuals to help them push that change.

To be successful in this role, you'll need a passion for transforming the way their clients work through the insights you will provide. You will be a methodical problem-solver ready to accept challenges and able to adapt to different sectors and industries. An ideal candidate will have a personal interest in analytics and knowledge of the latest analytics trends and offerings. You will have strong personal skills with the ability and confidence to work in a team, discuss requirements and demonstrate your deliverables with professionalism and authority. You will have a background in data or statistics, or a demonstrable enthusiasm to develop expertise in these areas.

ESSENTIAL

  • Analytical mindset
  • Effective communicator
  • Educated to at least A-level in Mathematics
  • General understanding of standard database concepts

DESIRABLE

  • Platforms - eg Azure, AWS, GCP
  • Appreciation of Enterprise Datamodelling
  • Either Power BI/Tableau/Qlik
  • SQL
  • DAX

OUR OFFER INCLUDES:

  • The opportunity to work on complex and projects for exciting clients
  • A competitive salary and attractive extra benefits
  • Excellent career opportunities at a global company
  • Internal and external training courses
  • Working in an innovative environment with results-oriented colleagues and a committed manager
  • Access to their knowledge library and interdisciplinary E-learning portals

Data Analysis, Visualisation, Azure, AWS, GCP, Datamodelling, Power BI, Tableau, Qlik, SQL DAX

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