Insight Analyst - SAS/SQL - Leading Consultancy

Recruiter
Harnham
Location
Nottingham
Salary
40000.0000
Posted
19 Apr 2017
Closes
19 May 2017
Contract Type
Permanent
Hours
Full Time

Insight Analyst - SAS/SQL - Leading Consultancy

£45,000 + Benefits

Nottingham

A leading consultancy are looking for an Insight Analyst to head up a team for their main client to provide actionable customer insights which will have significant business impact. Through the use of your analytical skills in SAS/SQL you will analyse large data sets as well as communicating to senior stakeholders and clients on a regular basis. This is a pivotal role therefore the right candidate will have a strong technical knowledge of SAS/SQL and have the ability to present insights and recommendations to clients.

THE ROLE - INSIGHT ANALYST:

  • Working within a dynamic team you will liaise with clients and stakeholders, presenting actionable customer insight strategies and recommendations
  • You will work to provide insights and recommendations for the clients loyalty scheme and campaign strategies
  • Using SAS/SQL skills you will analyse large data sets to ensure your insights are customer-centric
  • Develop and lead the relationship with the client to ensure your innovative work is delivered on-time

YOUR SKILLS AND EXPERIENCE:

  • Have strong skills in either SAS and/or SQL with the ability to write code in either
  • The ability to present actionable insights to senior stakeholders and clients
  • Have a background in translating advanced analytics into understandable insights for a non-technical audience
  • A strong commercial awareness of campaigns/marketing and the impact it has on both customers and the business

SALARY:

£45,000 + competitive benefits

HOW TO APPLY:

Please register your interest by submitting your CV via the Apply Link on this page. For further information please contact Faye Sheldrake at Harnham

KEYWORDS:

SAS, SQL, Insights, Consultancy, Strategy, Marketing, Campaign, Customer, Loyalty, Client, Lead, Insight, Analyst, Data, Recommendations, Team, Customer-Centric