Marketing Data Manager

Job Purpose

We are looking for an experienced Marketing Data Manager to lead our customer data strategy across our multi-brand portfolio. In this role, you will transform complex customer data into actionable insights, predictive models, and growth strategies. You will collaborate closely with cross-functional marketing teams to optimize sales, campaign performance, content strategy, and brand equity using data-driven intelligence.

Key Responsibilities

• Analyze customer journeys, purchasing behavior, repeat purchase rates, churn metrics, and Customer Lifetime Value (CLV) across multiple brand touchpoints.

• Build and maintain advanced customer segmentation models tailored to each brand’s identity and business goals.

• Identify new growth opportunities, such as cross-selling, up-selling, and personalized marketing tactics based on customer database analysis.

• Develop and implement predictive models to forecast sales performance, demand trends, and consumer behavioral shifts.

• Perform pre-campaign simulations and forecasting to evaluate potential return on investment (ROI) and guide marketing budget allocations.

• Sales Enablement: Deliver granular data insights to sales and commercial teams to pinpoint high-converting audience segments and optimize promotional strategies.

• Campaign Optimization: Design measurement frameworks (A/B testing, multi-touch attribution) across online and offline channels to maximize paid media efficiency.

• Content Strategy: Analyze content engagement across target demographics to guide creative teams in producing high-impact, brand-aligned messaging.

• Brand Portfolio Management: Benchmark performance data across portfolio brands to identify unique market positioning, strengths, and targeted growth levers.

• Oversee the ingestion and integration of customer data across all touchpoints (POS, E-commerce, CRM, Social Media, CDP).

• Manage and scale the company’s Customer Data Platform (CDP) and CRM systems.

• Ensure all customer data collection and analytics activities comply with local data privacy laws (PDPA) and global compliance standards.

• Design and maintain interactive BI dashboards and automated reports (Power BI, Tableau, or Looker) for executive leadership and Brand Managers.

• Translate complex statistical findings into clear business stories (Data Storytelling) with practical, actionable strategic recommendations.

Qualifications & Requirements

• Education: Bachelor’s or Master’s degree in Data Science, Business Analytics, Statistics, Marketing Analytics, Computer Science, or a related field.

• Experience:

  • 3–5+ years of hands-on experience in Data Analytics, Marketing Data, or Business Intelligence.

  • Prior experience working within a multi-brand environment, E-commerce, Retail, or FMCG sector is strongly preferred.

• Proficiency in data querying and statistical modeling languages (SQL, Python, or R).

• Strong expertise with BI visualization tools (Power BI, Tableau, or Looker).

• Familiarity with web analytics and MarTech stacks (GA4, Meta Business Suite, CDP, CRM tools).

• Solid understanding of statistical methods, including A/B testing, cohort analysis, and predictive modeling.

• Business Acumen: Strong commercial mindset with the ability to connect data analysis directly to marketing ROI and business growth.

• Data Storytelling: Exceptional communication skills to translate complex analytics into clear takeaways for non-technical stakeholders.

• Cross-functional Leadership: Proven ability to collaborate effectively across sales, creative, brand, and IT/data engineering teams.