Senior Customer Insight Analysts - SAS / SQL

Aspire Data Recruitment
£42000 - £47000 per annum, Benefits: Bonus & benef
29 Jul 2017
17 Aug 2017
Senior Customer Insight Analysts - SAS / SQL Staines-upon-Thames £42,000 - £47,000 As a Senior Analyst you`ll be the go to person for CVM activities performance and KPIs aggregating and consolidating MI, Marketing Effectiveness and other data sources into a single narrative. The Role - Responsibility for impact assessing and sizing opportunity for new CVM activities working closely with finance, CRM operations and Insight teams. - Build, maintain, and interlock CVM forecast throughout the planning process including conversion of gains and losses targets into customer and contact targets working with other functions - mainly sales, marketing and finance. - Identify opportunities and threats to CVM plans and forecast (volume and value) and make recommendations on future CVM strategy/plans. - Liaise closely with Marketing Effectiveness team to set campaigns/BNA/other CVM activities performance criteria and run investigations into performance/ drivers / variances to plan. - Consolidation of CVM performance and effectiveness insight into a single view and narrative. - Ensure that appropriate controls and processes are implemented to report on the performance of CVM activities. - Produce trading impact, rationale and commentary for CVM activities and recommend course correction actions. - Provide input to resolve conflicts and trade-offs between planning, channel capacity and cost to maximise effectiveness for sales and distribution. - Reports on the impact and effectiveness of targeted activities on the commercial targets - impact on Acquisition, Growth, Churn, Engagement, and Loyalty. - Identify value growth opportunities, value eroded over time and various other longer trends which can be acted upon strategically and or tactically by UK Home. The Person - Strong data analytical skills to interpret data and produce insight in order to understand opportunities, challenges and potential risks. - Familiarity with modelling, analysis, simulation and optimisation tools - Strong end-to-end knowledge of data-driven direct marketing / sales channels and how these drive value and ROI. - Confidence and creditability with developed communication skills and able to explain the analysis in a clear and concise manner. - Strong problem solving skills are essential, along with an ability to manage a varied workload, to tight deadlines. - Strong commercial acumen and effective decision making. - Capacity to innovate and think creatively with data and to understand what is - and what is not - possible with any data sets. - Experience of using customer insight and statistical models for developing contact plans, allocating customer investment, targeting comms and developing propositions. - Technical skills in SAS, SQL, Hadoop & advanced user of Excel and PowerPoint. -

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