Customer Analytics Lead

Emirates Islamic; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading banking institution in Dubai seeks a professional to implement modeling capabilities within their Customer Intelligence function. The role requires extensive experience in SAS and banking analytics. Candidates should possess strong communication skills and a background in data integration. The position offers competitive salary, work-life balance, and generous leave and healthcare benefits.

Benefits

Competitive salary package

Work-life balance emphasis

World-class Learning & Development

Generous annual leave

Private Healthcare

Preferential banking facilities

Qualifications

• 6-10 years of total experience; 4 years in banking analytics required.
• Hands-on experience with SAS and Base SAS coding.
• Upskilled in data integrations using various tools.

Responsibilities

• Introduce modeling capability within Customer Intelligence function.
• Design and implement predictive models for strategic decision making.
• Monitor model performance to optimize campaigns.

Skills

SAS EG & EM

Data Integration

Communication Skills

Presentation Skills

Base SAS Coding

Education

Bachelor's Degree in Finance / Applied Mathematics / Statistics / Computer Science

Master’s Degree (preferred)

Job description

Job Responsibility

• Introduce and implement modeling capability within Customer Intelligence function and lead the process for integrating modeling into strategic decision making process of Business
• Design, develop and implement highly efficient Propensity / Predictive models and continually refine models to achieve maximum conversions and revenues with SAS Tool.
• Drive the development of testing methodologies to improve customer and offer targeting, proposition development and model predictability
• Collaborate with key stake holders (such as Products ,segments, Channels) giving insights on the appropriate use of analysis, reports (and models/models scores) so that they understand and use the output effectively, so further customer targeting opportunities can be identified.
• Develop and test models in alignment with the optimized campaign lifecycle in order to drive increased conversion and ultimately achieve increased customer value
• Monitor propensity model performance; identify opportunities to continually optimize the targeting and commercial performance of campaigns and offers
• Develop, review and coordinate preparation of procedures manuals for “Modeling” in line with the business objectives
• Review and monitor compliance to the internal control systems that are in line with Bank’s policies and procedures.

Job Skills & Qualifications

• Bachelor's Degree in Finance, Applied Mathematics, Statistics, Computer Science, Decision Engineering, Database Analytics or related discipline required; Master’s Degree preferred.
• Must have at least 6-10 years of total experience, with at least 4 years of banking experience in analytics on the retail product side.
• Candidate should have significant hands-on experience on SAS EG & EM and should be highly efficient in Base SAS coding and Macros.
• Should be upskilled in data integrations between data warehouses, marts, financial systems, and operational systems using a combination of ETL tools, reporting tools and data interfaces.
• Candidates should have excellent Communication and Presentation skills. Candidate will be expected to work on high impact presentations for business stakeholders highlighting key insights: risks, opportunities, key indicators, etc.

What we offer you

• Competitive salary package
• Strong emphasis on work-life balance and wellbeing across the bank
• World-class Learning & Development platform and career development
• Generous annual leave entitlement and Private Healthcare
• Preferential banking facilities for employees