
Data Analyst - Consumer Analytics
- دبي
- دائم
- دوام كامل
- Maintain and enhance standard and brand-specific custom dashboards
- Support the delivery of "self-serve" analytics to brand teams.
- Deliver ad-hoc and periodic (monthly, quarterly, yearly) customer insights.
- Analyze customer demographics, product affinities, omnichannel behaviors, and prospect profiles.
- Provide insights to support campaigns, product launches, and key calendar events.
- Perform data ingestion verification and gap analysis.
- Troubleshoot and resolve data issues in collaboration with IT and data teams.
- Assist in implementing business-specific logic, attributes, and metrics in Looker and Salesforce.
- Support custom segmentation, brand-specific attributes, and categorization models.
- Participate in monthly review and planning meetings with brands and the omnichannel team.
- Work closely with marketing, CRM, e-commerce, and product teams to align analytics with business objectives.
- Bachelor's degree in Business, Marketing, Data Analytics, or related field.
- 1-2 years of experience in analytics, preferably in retail or e-commerce.
- Strong SQL skills for querying and manipulating datasets.
- Experience with Looker (dashboard creation & data exploration).
- Familiarity with Salesforce Service Cloud and Marketing Cloud.
- Proficiency in Excel/Google Sheets for quick data analysis.
- Strong analytical mindset with the ability to translate data into actionable insights.
- Excellent communication skills for presenting findings to non-technical stakeholders.
- Experience working in a centralized analytics team serving multiple brands.
- Knowledge of omnichannel retail KPIs and customer lifecycle metrics.
- Exposure to segmentation and personalization strategies in retail marketing.
- Salesforce Service Cloud - Customer data management and service tracking.
- Salesforce Marketing Cloud - Campaign tracking and customer journey analysis.
- Looker - Dashboard development, ad-hoc analysis, and self-serve reporting.
- SQL - Data extraction, cleaning, and transformation.