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Business Intelligence Analyst

Business Intelligence Analyst

  • Location

    Reading, Berkshire

  • Sector:

    Data Analytics & Artificial Intelligence

  • Job type:

    Permanent

  • Salary:

    £55000 - £65000 per annum

  • Contact:

    Ashley Lopez

  • Contact email:

    admin@wademacdonald.com

  • Job ref:

    27479/001_1580395555

  • Published:

    4 months ago

  • Expiry date:

    2020-02-29

Business Intelligence Analyst - £55k - £65k - Reading

The company

I'm working with a large global business based in Reading that's currently setting foot in the UK to introduce their products and service to millions of users with the aim to become the global leader in their sector.

They are looking to add a BI Analyst who is capable of delivering high quality datasets through cleansing and structuring data from their internal systems and Data warehouses.

The role

  • You will be responsible for developing techniques, reports and models to automate processes as well as analyse the business performance.

  • Requirement gathering based on existing and improving business processes

  • Provide forecasting reports on revenue, sales and operations data extracted from their CRM systems

  • Translate and prioritise data in order to prepare financial data for analytical use

  • Extracting, structuring and integrating data into visuals for business partners and stakeholders

What you'll need to be successful

  • Degree qualified in Maths, Computer science or a quantitative subject

  • 4+ year's commercial experience in a fast-paced data environment

  • Advanced in Excel and SQL

  • Advanced in Data visualisation tools such as Tableau, PowerBI or Qlik

What you'll receive in return

  • Pension

  • 25 days' holiday + bank holidays

  • Private Healthcare

  • On-site Gym/Gym membership discount

  • Employee Discount

  • Professional Development and much more

How to proceed

If this role is of interest, please apply to this advert directly

Applications are encouraged from all candidates meeting or exceeding the minimum criteria for the role regardless of age, disability, gender, orientation, race, religion or ethnicity.