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Data Analyst | Decision Scientist

Data Analyst | Decision Scientist

  • Location

    Swindon, Wiltshire

  • Sector:

    Data Analytics & Artificial Intelligence

  • Job type:

    Permanent

  • Salary:

    £35000 - £45000 per annum

  • Contact:

    Michael Winter

  • Contact email:

    michael.winter@wademacdonald.com

  • Job ref:

    26701/001_1552578136

  • Published:

    2 months ago

  • Expiry date:

    2019-04-13

  • Startdate:

    asap

  • Consultant:

    #

A new position has just become live with a financial business based in Swindon. This unique company are looking for a strong data analyst to join the growing analytics team to tackle a variety of challenges within the business.

This role requires a high level of innovative thinking, problem solving, presentation skills, reporting and strong communication skills.
You will be liaising with internal clients to get a solid understanding of their challenges and required needs, and to develop analytical solutions to these challenges.

Skills needed:

  • BSc or MSc in Mathematics, Statistics, Computer Science or Science

  • 2+ years' experience in an analytical position

  • Regular use of SQL is essential for this position

  • Strong use of at least 2 of the following tools: SAS, SPSS, R or Python

  • It would be advantageous to have experience with PowerBI or Tableau

  • Experience with more advanced analytics such as different Machine Learning techniques would be very advantageous

The ideal candidate will need to be:

  • Motivated self-starter

  • Collaborative team player

  • Effective communicator

  • Logical and analytical

  • Results focused

  • Innovative problem solver

This position is based in a great location in Swindon, located very close to the M4 for easy access from the following areas:

Cirencester, Oxford, Wantage, Newbury, Chippenham

If this position sounds of interest please apply directly to this advert of get in touch with Michael Winter

Michael.winter@wademacdonald.com 01189559530 07825711262

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.