Advanced Data Analytics & BI Manager - Government


Premium Job From BCT Resourcing

Recruiter

BCT Resourcing

Listed on

11th November 2018

Location

London

Salary/Rate

£80000 - £80000

Type

Permanent

Start Date

2018-11-09

This job has now expired please search on the home page to find live IT Jobs.

A Tier-One client has given a mandate to source a Data Analytics Manager to be based in London. The role pays up to 80K basic (depending on experience), car allowance, cashable benefits, pension scheme, annual bonus plus extras.

It is crucial that applicants carry deep experience in one or more of the following sectors; defence, government, aerospace, nuclear or other highly secure sector - and as such, holding SC, CTC or DV clearances (or the ability to hold in the future) is highly desirable.

Accountabilities of the role:

Presence - you will be responsible for the delivery of stakeholder facing projects, being the main day to day point of contact for senior contacts and the data and analytics SME

Technical - demonstrating skilled data analysis, manipulation, querying and profiling and visualisation to answer business questions

Team work - you will be either a key team member on large complex assignments and/or will lead work streams on smaller and medium size engagements

Business Development - supporting proposal and contract/proposition development, and building and maintaining client relationships

Key data analytics skills we are looking for:

Big Data" i.e. Hadoop (Hortonworks, Cloudera, MapR etc), Azure and NoSQL databases

Data management experience including traditional ETL knowledge, data quality, data governance, etc.

Reporting/visualisation - PowerBI, Qlik, Tableau, Spotfire, SAS for COTS and Pentaho for open source

Experience of Organisational deployment of Business Intelligence solutions including people, process and technology factors

Advanced analytics (or data science) - SAS, SPSS, R (or Revolution R), Python, etc.

Knowledge of statistical techniques and analysis (such as regression, clustering, sampling, social network analysis)

Should this be of interest, please submit your CV by clicking the Apply link.

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