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SQL/Excel Lead Insight Analyst

Posted 20 February by Harnham Easy Apply Ended

SQL/Excel Lead Insight Analyst



£60,000 to £80,000 plus Excellent Benefits

Great opportunity for an experienced Insight Analyst to join one of the leading Fin-Tech brands in the UK and Europe. 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 major expansion, you will be involved in plenty of new and interesting projects. The brand is based in an exceptional London location and they differentiate themselves by having a laid back environment. Do not hesitate to apply bellow if this sounds like the type of position that you have been looking for!

SQL/Excel Lead Insight Analyst - Duties and Responsibilities

- You will be in charge of the customer targeting approach
- You will oversee campaign responses and campaign selections
- You will supervise performance in order to implement new strategies
- You will lead the communication with high-level stakeholders

SQL/Excel Lead Insight Analyst - Skills and Qualifications

- Degree in Mathematics, Statistics, Physical Sciences or equivalent
- Strong SQL and Excel skills
- Commercial awareness and solid analytic background
- Confident communicator with both technical and non technical individuals
- Able to work within a team as well as work independently

SQL/Excel Lead Insight Analyst - Salary

Up to £80,000 plus benefits

How To Apply

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


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, Finance, Credit Card, Loans, 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
  • Data Analytics
  • Propensity
  • Lo
  • Customer behavior

Reference: 34519812

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