Insight Analyst - SAS or SQL

Recruiter
Harnham
Location
Nottingham
Salary
30000.0000
Posted
11 Mar 2017
Closes
10 Apr 2017
Contract Type
Permanent
Hours
Full Time

Insight Analyst - SAS or SQL

Nottingham

Financial Services

£30,000 - £45,000 + Benefits

A leading financial services agency based in Nottingham is looking for an experienced customer insights analyst to take on the role of Insight Analyst. This is an excellent opportunity for you to work with a key client to grow their commercial and marketing understanding through providing them with high quality, data driven insights using tools such as SAS and SQL.

Duties and Responsibilities - Insight Analyst

  • Design, plan and execute the targeting of customers through the company's targeted marketing programme
  • Create and establish advanced customer analytics - e.g. segmentation, cohort analysis and customer retention
  • Manage and conduct regular reporting and post campaign analysis, delivering actionable insights and recommendations using tools such as SAS and SQL
  • Present key actionable insights and recommendations to internal and external stakeholders

Skills and Qualifications - Insight Analyst

  • University degree in a numerate discipline - mathematics, statistics, engineering etc
  • Experienced user of SAS, SQL, SPSS or Excel
  • Prior experience in development of targeting and customer selections, particularly within the FS or loyalty analytics industries
  • 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 - Insight Analyst

£30,000 - £45,000 + Benefits

How To Apply - Insight Analyst

Please register your interest by submitting your CV via the apply link on this page.

Key Words:

SAS, SQL, 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, Nottingham,