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Senior Manager, MSS Analytics Job purpose:OverviewThe Senior Manager, MSS Analytics works collaboratively with Visa stakeholders to help promote, sell-in and deliver analytics tools, roadmaps, dashboards and custom solutions with defined commercial 'value' and measurable 'return' for the European Merchant Sales & Solutions team.Key accountabilities:Under direction of Head of MSS Analytics, provide analytics support for the European Merchant Sales & Solutions team for all their Analytics and Data Product needsAs an experienced (external) client facing individual you will know how to use data and analytics to deliver significant commercial improvement of Visa and its clientsEducate and train European Merchant Sales & Solutions team on available internal reports and dashboardsCreate and deliver business insights for external customers (interim and final presentations), storyboard using MINTO principlesEnsure internal stakeholder management to promote the Analytics team as a centre of excellence, usage of Analytics tools, and the development of a sales pipeline of committed projects on allocated marketsWork and mentor the team 'analysts' to detail requirements (request brief, client proposals), structure the financials, provide oversight and project management in Salesforce or any approved toolProcess - Enforcement of analytics policies, processes, and methodologies, especially data complianceInnovation - Socialise new ideas which are scalable and have market demandEssential criteria:Client facing experience working with merchants or a leading consultancy, ideally to a C-1 level with in-depth knowledge of the information needs across merchant sectorsExcellent analytical skills & ability to work and communicate the benefits of dataStrong data visualisation skills using Tableau Strong problem solving, stakeholder management/negotiation, project management capabilities and skills in communication especially knowledge management - SharePoint, Intranet site development, case studies Excellent interpersonal skills and proven ability to communicate technical information to a non-technical audience Evidence an ability to manage time effectively due to shifting priorities and deliver to fixed timescales Hands on experience with Python, SQL, Microstrategy, Tableau and SAS Desirable criteria:Fluency in one or more additional European languages; Italian, Spanish, German preferredExperience working in one or more of the card payments markets in EuropeGood understanding of modelling/analytical techniques such as logistic regression, Naïve Bayes, SVM, decision trees, neural networksKnowledge of KNIME, Matlab, Hadoop (Spark, Scala, Flume, Kafka, Hbase, Avro, Parquet)Previous experience working with large datasets using Hadoop, MapReduce, Pig, Hive

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