CRM Data Analyst

Parfums de Marly; Dubai; On-site; AED 220,000 - 294,000; Full time

Job summary

A luxury fragrance company seeking a CRM Data Analyst to enhance customer analytics, optimize data models, and drive insights. The ideal candidate should have 3-5 years of experience in data analytics within retail or luxury sectors, with strong skills in SQL and Python. Responsibilities include managing customer scoring, collaborating across teams, and developing dashboards to support business decisions. An educational background in data science or statistics is required, complemented by knowledge of CRM tools and data visualization.

Qualifications

• 3-5 years of experience in CRM Analytics or Data Analytics.
• Hands-on experience with CDPs, customer data integration, and segmentation.
• Experience in predictive modelling and customer scoring.

Responsibilities

• Build, maintain, and optimize customer data models and segmentation frameworks.
• Develop and maintain customer scoring models to assess customer value.
• Design and optimize dashboards and reporting to support decision-making.

Skills

SQL

Python

Data Visualization

CRM Principles

Analytical Mindset

Stakeholder Management

Education

Bachelor’s degree in Data Science, Statistics, IT, Marketing, or a related field

Tools

Power BI

Salesforce

Looker

Tableau

Job description

Job title: CRM Data Analyst

Location: Dubai, UAE

About the role

We are seeking an experienced CRM Data Analyst to drive customer analytics, segmentation, and scoring at scale. The role will leverage CRM systems, Customer Data Platforms (CDPs), and advanced analytics to deliver actionable insights that improve customer acquisition, engagement, retention, and lifetime value.

This position plays a critical role in translating customer data into measurable CRM impact, supporting personalization, omnichannel activation, and data‑driven decision‑making.

Key Responsibilities

Customer Analytics, Data & Scoring

• Build, maintain, and optimize customer data models, unified customer profiles, and segmentation frameworks using CRM systems and CDP tools.
• Integrate and harmonize customer data from multiple sources, ensuring data quality, consistency, and governance across platforms.
• Develop and maintain customer scoring models (e.g., RFM, CLV, propensity, churn) to assess customer value and predict future behavior.
• Apply advanced analytics and data mining techniques (clustering, classification, predictive modelling) to identify customer insights and growth opportunities.
• Perform cohort and lifecycle analysis to track segment performance and inform optimization actions.

CRM Activation, Measurement & Optimization

• Enable dynamic and real‑time segmentation to support personalized, omnichannel CRM and marketing activation.
• Partner with CRM and Marketing teams to measure campaign performance, customer uplift, and lifecycle impact.
• Support A/B testing and experimentation, including test design, analysis, and insight generation.
• Contribute to the continuous improvement of CRM effectiveness through data‑led recommendations and automation of analytics workflows.

Reporting, Collaboration & Enablement

• Design, maintain, and optimize dashboards and reporting (Power BI, Looker, Tableau) to support CRM and marketing decision‑making.
• Translate complex analytical outputs into clear, actionable insights for non‑technical stakeholders.
• Collaborate closely with CRM, Marketing, IT, and Data teams to ensure analytics outputs are operationalized and drive measurable business impact.

Role - Specific Skills

• Strong proficiency in SQL and Python for data querying, transformation, and modelling.
• Solid understanding of CRM principles, segmentation, LTV models, and campaign measurement.
• Experience with CRM databases, CDPs, and marketing automation tools (e.g., Salesforce, Braze).
• Strong data visualization skills using Power BI, Tableau, or Looker, with proven experience in creating and maintaining user‑friendly reports and dashboards.
• Analytical and detail‑oriented mindset with the ability to translate data into actionable business recommendations.
• Effective communication and stakeholder management skills.
• Ability to manage multiple priorities in a fast‑paced environment.
• Passion for fashion, luxury, and customer experience.

Desired Background and Experience

• Bachelor’s degree in Data Science, Statistics, IT, Marketing, or a related field.
• 3–5 years of experience in CRM Analytics, Data Analytics, or similar roles within retail, fashion, or luxury.
• Hands‑on experience working with CDPs, customer data integration, and segmentation workflows.
• Experience with predictive modelling, customer scoring, and data mining techniques.
• Familiarity with cloud‑based data environments (AWS, Azure, GCP).
• Experience collaborating cross‑functionally to operationalize analytics and support CRM activation.
• Knowledge of marketing automation and performance measurement tools is a plus.
• Advanced certifications in analytics, CRM, or CDP tools are a strong advantage.