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Tableau and Alteryx Consultant

London
£50000 - £60000 per annum + benefits

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TABLEAU AND ALTERYX CONSULTANT
STRATEGY CONSULTANCY
LONDON
£50,000-60,000

A well known top-tier strategy consultancy who specialise on clients in Financial Services and Private Equity are looking for an experienced Tableau and Alteryx consultant to work with clients to deliver dashboards as well as up-skilling staff with the tools.

THE COMPANY

The company are a top-tier strategy consulting firm who work mostly in the FS and Private Equity space. They have offices globally but are headquartered in London.

THE ROLE

As a Data Analytics specialist you would be responsible for :

  • Enabling and supporting project teams with the build of bespoke dashboards for the client
  • Working alongside the team and providing subject matter expertise across Tableau and Alteryx
  • Project managing the delivery of projects and also providing basic user training on client side

SKILLS AND EXPERIENCE

A successful Data Analytics Specialist will have:

  • A number of years of experience as a Consultant or Tableau and Alteryx SME
  • Lots of experience ingesting and processing data using Alteryx
  • Excellent experience both building reports and dashboards that are commercially beneficial using Tableau and also providing user training and admin familiarity
  • Ideally some sort of Tableau qualification or best in class recognised expertise.
  • Strong commercial awareness and proven experience delivering commercially beneficial reporting and enterprise level dashboards.

HOW TO APPLY

Please register your interest by sending your CV to Eoin Pierce or clicking on the link

KEYWORDS

SQL, Alteryx, Tableau, Consulant

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102804/EP
London
£50000 - £60000 per annum + benefits
  1. Permanent
  2. Business Intelligence

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Harnham blog & news

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How Are Data & Analytics Professionals Mapping COVID Trends With Data?

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Amy Topcakan

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Using Data Ethically To Guide Digital Transformation

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Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. 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