Permanent

Data Analytics and Modelling Officer - Fixed Term

Transport for the North

Data Analytics and Modelling Officer - Fixed Term

Reference: APR20195264
Expiry date: 12:00, 25 April 2019
Location: Manchester
Salary: £31,377.00 - £37,939.00 Per Annum
Benefits: 27 days holiday per annum, access to the local government pension scheme, access to various salary sacrifice benefits, including free Travel Pass purchase scheme, flexible working
Duration: Fixed Term Contract until 31 March 2021
Attachments: RoleProfile-DataAnalyticsandModellingOfficerFT.pdf

Role overview:

This appointment represents a unique opportunity to join an organisation in its early days and help shape its future. Our current business plan (available via our website) has a number of high priority commitments to deliver over the next 2 years that have been identified as pivotal to northern transformation and require an expansion of our analytical capabilities.

The Data Analytics and Modelling Officer will be required to deliver information, data, analysis and modelling that aids others in the production of recommendations/outputs.

You will be expected to collaborate with others to deliver outcomes and will contribute to the improvement of existing processes and procedures.

The TAME team works closely with our strategy and policy makers and managers to analyse and appraise the most appropriate interventions in our future investment portfolio. This includes developing and applying pan-northern data, modelling and appraisal practices to help understand the needs of the economy and transport system, and develop robust evidence.

Overall TAME activities are captured within the Analytical Framework, that promotes ‘One North’ for developing evidence.  Key to TAME’s activities is to the grow our capabilities within the Analytical Framework focused on supporting existing and emerging programmes. This requires a range of analytical techniques: from acquiring and storing spatially enabled data on contemporary data analytics platforms; to undertaking geo-spatial data analytics and statistical analysis; through to exploring problems, appraising options and providing objective advice. 

What we’re looking for:

The successful candidate will have experience developing and applying data systems, applying data analytics and developing script for repeatable analysis. You will have a proven track record of successfully delivering projects and should be able to demonstrate experience collaborating with technical and non-technical audiences.

Candidates must be educated to degree level within a mathematical related subject or possess a professional qualification or equivalent experience. 

Provisional Interview Date:  3rd, 10th, 14th or 15th May 2019.
Interview location: Manchester

In return, as well as a competitive salary, our other benefits are:

- 27 days holiday per annum

- Access to the local government pension scheme

- Access to various salary sacrifice benefits, including Travel Pass purchase scheme.

- Access to TfN’s Flexi-Time Scheme, allowing accrual of up to 18 additional days leave per year

If you believe you have the skills and experience we’re looking for please apply online, ensuring that in your application you provide evidence in the form of specific examples of how you meet the essential criteria in the role profile.

At TfN, we welcome and encourage applications from everyone regardless of age, disability, gender, ethnicity, religion and sexual orientation. We are particularly keen to encourage applications from women, members of ethnic minority groups and people with disabilities who are currently under-represented.

As part of our commitment to diversity and inclusion, all applications will be considered on their merit.

Transport for the North is an accredited Living Wage Employer. This means that every member of staff working for Transport for the North, earns a real Living Wage.

Overview

  • Location: Manchester
  • Job Title: Data Analytics and Modelling Officer - Fixed Term
  • Salary: £31,377.00 - £37,939.00
  • Closes: 25 Apr 2019
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