Insight Analyst - Python, R, SQL - e-Commerce

London, South East England
17 Jul 2017
16 Aug 2017
Contract Type
Full Time

Insight Analyst - Python, R, SQL - e-Commerce



Up to £50,000 + Benefits

An award-winning international e-Commerce business is looking for an experienced analyst to join their team as an Insight Analyst. In this role, you will be responsible for analysis customer trends and behaviours using SQL, Python, R and Excel which you will then deliver and provide recommendations to internal and external stakeholders.

Duties and Responsibilities - Insight Analyst

  • Provide data-driven insights to support the decision making for the Commercial, Marketing, & Customer teams.
  • Design, plan and execute the targeting of customers through the company's targeted marketing programme.
  • Analyse campaign performance and provide suggestions to improve and grow the business
  • Initiate, manage and deliver analytical projects and reports
  • Manage and conduct regular reporting and post campaign analysis, delivering actionable insights and recommendations using tools such as SQL, Python, R and Excel
  • Work closely with other internal marketing teams to aid the development of new programs as well as improving current programmes

Skills and Experience - Insight Analyst

  • Strong analytical skills using Python, SQL and Excel to manipulate, segment and analyse customer data
  • Ability to use Microsoft Office products - especially Excel
  • Experience in development of targeting and customer selections
  • University Degree in a numerate discipline - statistics, engineering, quantitative methods etc
  • Knowledge of commercial retail operations and procedures
  • Desirable: experience using R, Tableau or similar

Salary and Benefits - Insight Analyst

Up to £50,000 + 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.

Key Words:

Insight Analyst, Insight, Analyst, e-commerce, R, Python, SQL, SPSS, Excel, Network Optimisation, Commercial Analytics, Consumer, Customer, Customer Journey, CRM, Online Payments, Retail, Retail Analytics, Customer profiling, Recommendations, Campaign Management, Drivers of Value, Marketing, Online Marketing, Revenue Optimisation