Senior SAS/R Customer Analyst - FS

16 Jul 2017
29 Jul 2017
Job role

Senior SAS/R Customer Analyst - FS


Financial Services

Up to £50,000 + Bonus + Benefits

A market leading financial services company is looking for an experienced customer insight analyst to join their expanding team as a Senior Customer Analyst. This is an excellent opportunity for you to lead a small team in their quest to influence the direction of the company through actionable data-driven insight gained from tools such as SAS, SQL and R.

Duties and Responsibilities - Senior SAS/R Customer Analyst

  • Create and establish advanced customer analytics - e.g. segmentation, cohort analysis and customer retention
  • Enhance overall online customer experience through analysing and improving customer journeys
  • Maximise online marketing targeting and personalised analytically driven communications
  • Work closely with, and lead other analysts, data engineers and technologists to share knowledge, evaluate opportunities and recommend improvements to current processes.
  • Develop, train and develop junior members of the team

Skills and Qualifications - Senior SAS/R Customer Analyst

  • University degree in a numerate discipline - mathematics, statistics, engineering etc
  • Expert knowledge of tools and languages such as SAS, SPSS, R, Python
  • Strong commercial awareness and ability to interact with various internal and external stakeholders
  • Ability to carry out a senior role within the team, as well as working independently to meet tight deadlines

Salary and Benefits - Senior SAS/R Customer Analyst

Up to £50,000 + Bonus + Benefits

How To Apply - Senior SAS/R Customer Analyst

Please register your interest by submitting your CV via the apply link on this page. To find out more information please get in touch with Scott Lazarus at Harnham.


SAS, SQL, R, Python, SPSS, Insight Analysis, Customer Insight, Customer Behaviour, Loyalty Analytics, Commercial Insight, Marketing Insight, Marketing Analytics, Segmentation, Clustering, Cluster Analysis, Regression, Propensity, Statistics, Statistical, Statistical Modelling, Modelling, London