Job Description:
Job ID(17247) |
This role is accountable for supporting business units through analysis and tracking of marketing campaigns, strategic and tactical analysis of internal data, and applying business
knowledge to drive key insight.
Accountabilities:
Strategic Analysis, Modelling & Evaluation 30%
Use Data Analytics to improve the understanding of the Customers'::::: behaviors, and what their drivers and trends are (modelling/profiling)
Drive insight from internal data, proactively challenging the data boundaries to shape the Customer Strategy, Medium Term Plan and Marketing Planning
Support business cases and implementation plans for key business initiatives through provision of key analyses and data-driven insight
Campaign Analysis and Support 30%
Support the design and implementation of Marketing Campaigns
Lead and own the design of experiments (e.g. test and control groups) for Marketing Campaigns, ensuring that a robust framework is in place to evaluate the target performance and the incremental value of different initiatives.
Support the evaluation of past campaigns through on-going tracking, customer profiling etc.
Business Liaison 30%
Support business cases and implementation plans for key business initiatives through provision of key analyses and data-driven insight
Present the results of Data Analytics to the wider Business Audience, ensuring full awareness of opportunities and issues across the Business.
Liaise with key internal Stakeholders, partnering with them in the design of Marketing Initiatives.
Evaluation and management 10%
Proactively identify opportunities to improve working procedures / practices for the team
Provide coaching and support /knowledge transfer
Essential
Educated at MS level in Quantitative Sciences (e.g. Maths, Stats, Engineering) or equivalent/above
Strong experience in Base SAS and SQL (SQLServer) on large databases
Strong knowledge of industry best practice across the Design, Development, Testing and implementation lifecycle (including the related Statistical Techniques, e.g. Stratified Sampling)
Proven ability to lead end-to-end Projects/Tasks autonomously, ensuring delivery on promises, owning the resolution of issues, making appropriate use of the escalation process
Advanced MS Excel, Word, PowerPoint
Excellent oral and written communication skills, with the ability to discuss technical matters with a non-technical audience in an effective way
Preferred
SAS Macro, SAS/Stats, SQLServer, Visual Studio Development Tools
Previous experience in Commercial/Consumer Finance
Predictive Modelling techniques (e.g. classification trees, CHAID, linear/logistic regression)
Understanding of P&L and Financial KPIs
Recruiter: Orly Miller
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