Senior Data Analytics & Growth Architect

Confidential; Dubai; On-site; AED 300,000 - 600,000; Full time

Job summary

Confidential in Dubai seeks a Data Analytics Expert to conduct advanced analytics, build predictive models, and apply statistical and ML techniques to extract actionable insights that support customer, commercial, revenue, pricing, and growth decisions across the organization.

Collaborating with commercial, sales, marketing, finance, and customer experience teams, you will translate business questions into data science problems, engineer features, and develop robust models with clear

Qualifications

• Bachelor's in data science, statistics, mathematics, computer science or related quantitative field.
• Master's or PhD is a plus.
• Minimum 8-10 years hands‑on experience in advanced analytics and data science.
• Strong domain experience in customer, commercial, revenue management, pricing, or growth analytics.
• Experience with CRM data and data models (Salesforce CRM preferred).

Responsibilities

• Identify opportunities for customer segmentation, churn prediction, CLV, demand forecasting, pricing optimization, and revenue uplift.
• Translate business questions into data science problems including feature engineering and model development.
• Prepare data readiness: cleansing, normalization, and transformation of datasets.
• Design and develop advanced analytical, ML, and AI models for insights across customer behavior and sales performance.
• Translate insights into actionable recommendations for senior stakeholders.

Skills

Customer analytics

Commercial analytics

Revenue management

Pricing analytics

Growth analytics

Education

'Bachelor's in data science, Statistics, Mathematics, Computer Science'

Master's or PhD preferred

Tools

SQL (Oracle)

Azure ML

Job description

Confidential in Dubai seeks a Data Analytics Expert to conduct advanced analytics, build predictive models, and apply statistical and ML techniques to extract actionable insights that support customer, commercial, revenue, pricing, and growth decisions across the organization.

Collaborating with commercial, sales, marketing, finance, and customer experience teams, you will translate business questions into data science problems, engineer features, and develop robust models with clear