英国DataSciences Consulting招聘SAS数据分析师

Key Skills:

SAS/MS SQL/R Language/Big Data/Statistics/Data Analytics/Data Mining/Modelling/Insights/SPSS

Data Analysts with experience in Predictive Model Building is required to join our analytics consultancy team in the London office. This is a rare and fantastic opportunity for a Data Analysts, to join a company which will take your career to new levels. This role will suit an Analyst with experience working with statistical tools, such as SAS and an aptitude for analysing large data sets. A market leader in their field, who have achieved growth over the past 12 months. This is a unique opportunity to join the best of the best within the sector. We are offering an excellent starting salary and a generous benefits package.
About you:

As the Data Analyst, you will have excellent communication skills, with a track record of applying data mining and discovery techniques using SAS toolset

Essential Skills:
•Providing analytical support to the business, including senior management; marketing, finance and business teams
•Communicating results from analysis in a way that is clear and easily understood
•Querying and manipulating data to aid commercial insight
•Developing and utilising statistical models to improve targeting and responses
•Creating and implementing a suite of regular reports to monitor and understand customer behaviour
•Various data analysis techniques such as regression modelling, variable reduction, clustering, bayes, data mining, customer segmentation
•2.1 Degree or equivalent in Maths, Science or Statistics ideally MS or PhD
•Great visualisation exposure using SAS graphical capabilities ideally in media/finance/banking
•Excellent SQL experience on either MS TSQL, Oracle SQL
•Ideally with some of the below SAS modules:
SAS DI Studio/SAS Base v9.2 above
SAS Enterprise Guide
SAS Enterprise Miner
SAS Text Miner
SAS Management Console

Desirable Skills:
•Business Objects XI exposure, Qlkview, Teradata SQL, SPSS

In return you will get:
•Competitive base salary plus bonus (10-15% year on year)
•Fully expensed training into Big Data Hadoop technology and more
•Work life balance 9am-5pm working hours

Working with the best brains in the business.