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SQL/Excel Senior Marketing Analyst

Posted 25 January by Harnham Easy Apply Ended

SQL/Excel Senior Marketing Analyst

Retail

London

£40,000 to £50,000 plus Excellent Benefits


Great opportunity for an experienced Marketing Analyst to join a fantastic retail brand. This role requires someone who is ready to step up and assist the company in improving their performance as well as their marketing channels.
If you are the successful applicant, you will have the opportunity to be joining at a pivotal time in the company's development journey, giving you the chance to make a real difference and deliver groundbreaking insight


SQL/Excel Senior Marketing Analyst - Duties and Responsibilities

- You will be in creating dashboards and reports in order to support performance
- You will be doing recommendations in order to optimise marketing and campaign strategies
- You will build customer segmentation to understand customer behaviour and improve targeting
- You will lead the communication with high-level stakeholders


SQL/Excel Senior Marketing Analyst - Skills and Qualifications

- Degree in Mathematics, Statistics, Physical Sciences or equivalent
- Strong SQL and Excel skills
- Solid knowledge of Google Analytics
- Previous experience designing and analysing A/B tests
- Confident communicator with both technical and non-technical individuals
- Able to work within a team as well as work independently


SQL/Excel Senior Marketing Analyst - Salary

Up to £50,000 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, Customer Insight, Analyst, Marketing, Insight, Data, Data Analysis, Data Analytics, Customer Data, Customer behaviour, Propensity, Modelling, London

Required skills

  • Analyst
  • Credit Card
  • Customer Data
  • Customer Insight
  • Data
  • Data Analysis
  • Finance
  • Insight
  • Loans
  • Managerial
  • Marketing
  • Marketing Manager
  • Modelling
  • Python
  • SPSS
  • SQL
  • SAS
  • R
  • Marketing Analyst
  • L
  • Data Analytics
  • Propensity
  • Customer behavior

Reference: 34324050

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