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Customer Insight Analyst

Aspire Data Recruitment
Job LocationManchester
EducationNot Mentioned
Salary28,000 - 38,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Customer Insight AnalystManchesterto £38,000 + bonus & benefits We are looking for a Customer Insight Analyst to join the Analytics & Pricing team of a well-known Insurance company based in Manchester City Centre.Youll be responsible for producing campaign selections, analysis, reporting, statistical models and clear insights needed to support customer and marketing strategies.The Role

  • Query large databases to extract and manipulate data that is fit for purpose.
  • Perform detailed and insightful analysis to solve complex business problems and / or to gain a deep understanding of various business dynamics.
  • Deliver regular management information and insight on specific KPIs relating to performance.
  • Provide analytical support for the marketing plan in terms of campaign data selections, analysis, testing, profiling, propensity modelling and reporting.
  • Identify and progress new data-driven opportunities in the areas of customer acquisition, upsell, cross-sell and retention.
  • Build strong relationships with stakeholders in key areas such as Marketing, Digital, Product and Risk & Compliance.
  • Help junior members of the team overcome technical challenges and contribute to the wider analytics community.
Candidate BackgroundEssential
  • Educated to degree level in a numerical discipline.
  • Excellent analytical and numerical skills.
  • Knowledge of a range of statistical techniques and concepts e.g. logistic regression, clustering, decision trees, machine learning, uplift modelling.
  • High level of competency in MS Office - particularly Excel, Word and PowerPoint.
Desirable
  • Educated to MSc level in a numerical discipline.
  • Previous experience of running marketing campaign data selections and performing pre and post campaign analytics
  • Experience of building, implementing and monitoring statistical models used for commercial purposes.
  • Previous experience of BI tools such as Tableau.
  • Previous experience of analytical and statistical tools e.g. SAS, R, Python, Emblem.
  • Confidence in presenting technical information in a variety of ways to clients and colleagues

Keyskills :
Data AnalysisInsightModellingSQLStatistics

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