Marketing Data Analysis & Reporting, Executive

Job title: Marketing Data Analysis & Reporting, Executive

Company: Watsons


Job description: Job Description:Key Responsibilities:
1. Customer Data Analysis

• Analyze customer database and segment users based on behavior, demographics, and lifecycle stage.
• Track and report customer retention, churn, reactivation, and LTV (lifetime value) trends.
• Support personalization and targeting strategies through data-driven segmentation.

2. Campaign Performance Reporting

• Monitor and evaluate marketing campaign effectiveness across channels (EDM, WhatsApp, SMS, Social, and Paid Ads etc.).
• Build and maintain dashboards to track KPIs such as open rate, click-through rate, conversion rate, and ROI.
• Provide actionable insights and recommendations to improve campaign performance.

3. Marketing Automation Support

• Collaborate with the CRM & Performance team to set up automated journeys and triggers based on customer data and behavior.
• Analyze journey performance and suggest optimization points.

4. Business Intelligence

• Support ad-hoc analysis and deep dives into customer behavior, marketing performance, and sales trends.
• Work closely with cross-functional teams (e.g., Online Business & Trading) to align insights with business goals.

5. Data Governance & Integrity

• Ensure accuracy and integrity of data used in reporting.
• Collaborate with IT/Regional teams to maintain data hygiene and resolve discrepancies.

Requirements:

• Bachelor’s Degree in Science Mathematics, Statistics, Data Science, or a related field.
• 2-3 years of experience in CRM, marketing analytics, or data analysis.
• Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Familiarity with CRM platforms (e.g., Salesforce, Adobe Campaign, etc.) is a plus.
• Detail-oriented with ability to translate complex data into clear and concise insights.
• Comfortable working in a fast-paced, collaborative environment.
• Knowledge of RFM analysis, predictive modeling, or A/B testing.
• Basic understanding of digital marketing metrics and tools (e.g., AppsFlyer, Google Analytics, Meta Ads Manager).

Expected salary:

Location: Kuala Lumpur

Job date: Thu, 03 Apr 2025 06:42:08 GMT

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