Insight Analyst

Posted 29 September by Harnham
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Insight Analyst

Milton Keynes

Retail

Up to £45,000 + Benefits

A leading retail company is looking for a talented insight analyst to join their customer analytics team. The role will focus on marketing analytics such as customer segmentation, profiling and predictive modelling and in turn, providing easily understood actionable insight for a variety of stakeholders using SQL and Excel.

Duties and Responsibilities - Insight Analyst

  • Investigating, interpreting and understanding complex unstructured data and translating that into value driven insight
  • Communicate complex data and methodologies clearly and effectively to internal and external stakeholders
  • Manipulating and interpreting large database tables with millions of rows of data
  • Utilise tools such as SQL and Excel
  • Work closely with various teams within the business to gain a holistic view of customers, trends and competitors

Skills and Qualifications - Insight Analyst

  • Experience and knowledge in SQL
  • Advanced Excel experience
  • Prior data analytics and optimisation experience, specifically focusing on segmentation, regression or clustering
  • University degree, preferably in a numerate discipline
  • Excellent communication skills
  • Ability to carry out a senior role within the team, mentoring junior analysts, as well as working independently to meet tight deadlines

Salary and Benefits - Insight Analyst

Up to £45,000 + Benefits

How To Apply - Insight Analyst

Please register your interest by submitting your CV via the apply link on this page or contacting Scott Lazarus

Keywords:

Marketing Analytics, Insight, Analyst, SQL, Excel, Commercial Analytics, Customer, Customer Journey, CRM, Online Payments, Retail, eCommerce, Recommendations, Campaign Management, Campaign Analytics, Marketing, Online Marketing, Revenue Optimisation

Required skills

  • Analyst
  • CRM
  • Insight
  • Marketing
  • Marketing Analytics
  • Retail
  • SQL
  • Customer
  • Excel
  • Online Marketing
  • Customer Journey
  • Campaign Management
  • eCommerce
  • Online Payments
  • Revenue Optimisation
  • Recommendations
  • Commercial Analytics
  • Campaign Analytics

Reference: 35961458

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