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Marketing Data Manager

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Onsite

Marketing Data Manager

7 IDEAS CORPORATION CO., LTD.

Marketing Data Manager

Skills

SQL QueriesLookerData EngineeringE-commerce WebsitesTableauPythonData ScienceRData AnalysisContent StrategyCRMWeb AnalyticsCompliancePower BI

13 days ago

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Important information


Contract type:

Permanent

Location:

Bangkok, Thailand

Work mode:

Onsite

Published on:

15 October 2026

What they need


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

1. Customer Behavior & Segmentation

  • 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.

2. Predictive Analytics & Forecasting

  • 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.

3. Multi-Brand Commercial & Content Support

  • 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.

4. MarTech Ecosystem & Data Governance

  • 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.

5. Business Intelligence & Executive Reporting

  • 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.

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