Data Analyst - SAS and SQL

Recruiter
Harnham
Location
Leeds
Salary
£25000 - £35000 per annum + Benefits
Posted
15 Apr 2017
Closes
15 May 2017
Contract Type
Permanent
Hours
Full Time
Insight Analyst - SAS and SQL

Leeds

Marketing Analytics

Up to £35,000 + Bonus + Benefits

A leading international marketing agency is looking for an experienced analyst to join their expanding team as an Insight Analyst. In this role you will be responsible for analysis of customer trends and behaviours using SQL, SAS and Excel, and, in turn delivering data-driven insights to internal stakeholders.

Duties and Responsibilities - Insight Analyst

* Design, plan and execute the targeting of customers through the company's targeted marketing programme
* Provide accurate and relevant insights to support business objectives and help inform key decisions
* Understand and track customer journeys and behaviours
* Forecast, monitor and review the performance of this targeted marketing programme - reporting to senior finance and commercial stakeholders
* Work closely with other internal marketing teams to aid the development of new programs as well as improving current programmes

Skills and Qualifications - Insight Analyst

* University degree in a numerate discipline - mathematics, statistics, engineering etc
* Experienced user of SAS, SQL or Excel
* Strong commercial awareness and ability to interact with various internal and external stakeholders
* Keen eye for detail on data related issues and take initiative for resolving them
* Ability to carry out a role within the team, as well as working independently to meet tight deadlines

Salary and Benefits - Insight Analyst

Up to £35,000 + Benefits

How To Apply - Insight Analyst

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

Keywords:
SAS, SQL, Excel, Insight Analysis, Customer Insight, Customer Behaviour, Loyalty Analytics, Commercial Insight, Marketing Insight, Marketing Analytics, Segmentation, Clustering, Cluster Analysis, Regression, Propensity, Statistics, Gaming, Leeds