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Assistant Analyst (Marketing Data)

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Onsite

Assistant Analyst (Marketing Data)

HKT

Assistant Analyst (Marketing Data)

Skills

SQL QueriesTableauPythonData ScienceTesting & QAData AnalysisMachine LearningAIComplianceMarket ResearchPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Hong Kong

Work mode:

Onsite

Published on:

26 August 2026

What they need


You will work in the Marketing Data Analytics Team. The primary responsibility of this role is to deliver high-quality business insights and support strategic decision-making through advanced data analytics, AI-driven solutions, and market intelligence. Major responsibilities include, but are not limited to:

Your Role

  • Analyze large and complex datasets to understand customer behavior, identify growth opportunities, and develop customer acquisition and retention strategies.
  • Develop and maintain regular management reports, dashboards, and performance tracking tools to monitor key business metrics.
  • Conduct market research and competitive analysis to evaluate market trends, brand perception, customer satisfaction, and market penetration opportunities.
  • Leverage AI and machine learning technologies to enhance customer segmentation, predictive modeling, campaign optimization, and business forecasting.
  • Participate in AI-related projects, including data preparation, model validation, implementation support, performance monitoring, and business adoption.
  • Perform UAT, data validation, and quality assurance activities to ensure the integrity and accuracy of marketing data marts and analytical platforms.
  • Monitor project execution and data governance processes to maintain data quality and compliance standards.
  • Support ad hoc analytical studies and business projects as assigned.

To success in this Role

  • Degree holder in Marketing, Statistics, Data Science, Computer Science, Business Analytics, or related disciplines.
  • Experience in Data Analytics, Business Intelligence, Marketing Analytics, or related fields.
  • Hands-on experience with analytics and visualization tools such as SQL, Python, Qlik Sense, Tableau, Power BI, or similar platforms.
  • Knowledge of AI, machine learning, predictive analytics, generative AI, or data science methodologies is highly desirable.
  • Experience participating in AI, machine learning, automation, or advanced analytics projects is preferred.
  • Experience in the telecommunications, mobile, IT, digital, or technology industry will be an advantage.
  • Strong analytical and critical thinking skills, with the ability to transform complex data into actionable business insights.
  • Detail-oriented with strong problem-solving capabilities and a passion for data-driven decision making.
  • Excellent interpersonal, communication, and stakeholder management skills.
  • Good command of both written and spoken English and Cantonese.

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