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Data Analytics Architect - Kingston Upon Thames
  • Employer: Surrey County Council
  • Reference: orbis/TP/26142/4411
  • Published: Mon 30/09/2019, 10:40 AM
  • Closing on: Fri 18/10/2019, 23:55 PM
  • Working Pattern: Full Time
  • Hours: 36 hours per week
  • Salary: £44,838 - £50,711 per annum
  • DBS Check: No
  • Location: Surrey

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Data Analytics Architect - Kingston Upon Thames

Description

£44,838 per annum based at County Hall, Penrhyn Road, Kingston upon Thames, Surrey KT1 2DW. This position is based inside one of our main area offices, click HERE to see a 360 degree view of the building and surrounding area along with a view of the reception. 

We are looking to relocate back into the county by 2020. Agile and flexible working welcomed and supported, we care about the job you do, not where you do it.

From flexible working to job sharing (where possible) we are committed to providing a healthy work life balance. A laptop and mobile will be supplied if applicable to your role. You will benefit from 24 days annual leave, rising to 28 days after 2 years' service, a generous local government salary related pension, as well as the option to join our car lease scheme. For more information about the wide variety of benefits you can take advantage of please visit MyBenefits for Surrey County Council staff.

Surrey County Council is committed to safeguarding and promoting the welfare of children, young people and vulnerable adults and expects all staff and volunteers to share this commitment. We want to be an inclusive and diverse employer of first choice reflecting the community we serve and particularly welcome applications from all under represented groups.

About the role

Service – IT & Digital is a service within the Orbis partnership, providing technology and business change support to Surrey County Council, East Sussex County Council and Brighton & Hove Council.

Team – This role is within the Data Analytics Centre of Excellence part of the Digital Innovation Team and Projects and Innovation group of the Orbis IT & Digital service. The Data Analytics Centre of Excellence is responsible for facilitating, promoting and delivering on the use of Analytics to achieve business objectives across Orbis and SCC and to deliver business transformation.

Role – The role is charged with leveraging data and analytics to optimize customer experience and business processes. You will take the role of Expert in the field of Advanced Analytics for the authority, leading on the discovery, development, implementation and support of an advanced analytics capability.

Skilled in Analytical techniques and with an extensive and varied history in delivering advanced data analytics solutions in a complex organisation and to a demonstrable high standard, the candidate must have a passion for the subject matter and a desire for continuous self improvement

To be shortlisted to interview for this position your application will clearly evidence:

  • Skilled in Analytical techniques and with an extensive and varied history in delivering advanced data analytics solutions in a complex organisation and to a demonstrable high standard
  • Experience of using machine learning and sklls in Python or equivalent language
  • A passion for the subject matter and a desire for continuous self improvement and skills in mentoring others
  • Extensive experience of traditional reporting platforms such as Business Objects, Data Visualisation tools such as Tableau and ETL tools such as SSIS or FME as well as significant experience in SQL Coding and relational database design with SQL Server.

For more information please find attached to the bottom of this advert a full job profile.

Additional information

Contact details

For an informal discussion contact Dan Harmer by e-mail at daniel.harmer@surreycc.gov.uk. We look forward to receiving your application. 

Additional information

The job advert closes at 23:59 on 18/10/2019.

Interviews will take place on 25/10/2019

How to Apply

Please apply online via the link provided. Please note, we do not accept CV’s submitted without a fully completed online application form.

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