SQL/Google Analytics Senior Analyst

Posted 19 October by Harnham

SQL/Google Analytics Senior Analyst

Retail

London

£60,000 plus Excellent Benefits


Great opportunity for an experienced Senior Analyst to join one of the leading retail companies world wide. The role requires someone who is ready to step up and help the brand better their performance as well as to improve their marketing channels as they are facing a new phase with exciting projects.
The role is perfect for someone who is ambitious, passionate and looking to be part of one the biggest retailers. If that could be you, please apply below.


SQL/Google Analytics Senior Analyst - Duties and Responsibilities

- You will lead the communication with high-level stakeholders
- You will be using their data to analyse and identify trends and insights
- You will be working together with a number of teams, offering ideas and support in growing revenue
- You will lead 1 analyst


SQL/Google Analytics Senior Analyst - Skills and Qualifications

- Degree in Mathematics, Statistics, Physical Sciences or equivalent
- Strong SQL and Google Analytics skills
- Commercial awareness and solid analytical background
- Confident communicator with both technical and non-technical individuals
- Previous experience dealing directly with stakeholders
- Able to work within a team as well as work independently


SQL/Google Analytics Senior Analyst - Salary

Up to 60,000 plus benefits


How To Apply

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


Keywords

Marketing Analyst, Marketing Manager, Managerial, SQL, SAS, R, Python, SPSS, Excel, Customer Insight, Analyst, Marketing, Insight, Data, Data Analysis, Data Analytics, Customer Data, Customer behaviour, Propensity, Modelling, London

Required skills

  • Analyst
  • Customer Data
  • Customer Insight
  • Data
  • Data Analysis
  • Insight
  • Managerial
  • Marketing
  • Marketing Manager
  • Modelling
  • Python
  • SPSS
  • SQL
  • SAS
  • Excel
  • London
  • R
  • Marketing Analyst
  • Data Analytics
  • Propensity
  • Customer behavior

Reference: 33596526

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