1-2 years of hands-on experience in digital marketing, performance marketing, or media buying.
Strong ad copywriting skills in English, paired with functional written fluency in Chinese (Mandarin) and Malay (ability to craft localized hooks and campaign copy).
Demonstrated experience operating ad managers (Meta Ads Manager, Google Ads, TikTok Ads Manager, or LinkedIn Campaign Manager).
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Digital Marketing
Performance Marketing
Media Buying
Ad Copywriting
Meta Ads Manager
Google Ads
TikTok Ads Manager
LinkedIn Campaign Manager
Shopify
Shopee
Lazada
WooCommerce
Magento
Klaviyo
Mailchimp
Google Analytics 4
ROAS
CTR
CPC
CPA
CPM
LTV
CAC
Data Interpretation
Communication
2-4 years' experience in Skincare/Health & Beauty/FMCG in E-Commerce with a strong record in managing category sales and margins and possessed strong understanding on marketplace and digital marketing solutions such as affiliates, paid ads, social media, and live streams.
Must have hands-on experience with marketplace seller centre and platform analytics.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
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4–8 years in financial modelling, property investment underwriting, REIT analysis, or real estate investment banking. Candidate from a bank's real estate lending team is welcome to apply.
Proven track record of independently producing investor presentation materials and engaging directly in capital raising or financing discussions — not limited to a back-office or supporting analyst function.
Demonstrates strong financial modelling capability with advanced Excel proficiency. Familiarity with Power BI, AI-driven analytics, or data visualisation tools will be viewed favourably.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
...
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
...
• Your profile 8-10 years' experience in designing, building, managing, and maintaining large-scale data solutions across diverse industries.
• Expert-level proficiency in SQL, data modelling concepts, analytics and implementation methods, with a proven ability to apply these skills in complex data environments.
• In-depth knowledge of cloud computing platforms, particularly Azure, and key data components including Azure Data Factory, Databricks and PySpark, Azure Synapse, and dbt.
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2-4 years' experience in Skincare/Health & Beauty/FMCG in E-Commerce with a strong record in managing category sales and margins and possessed strong understanding on marketplace and digital marketing solutions such as affiliates, paid ads, social media, and live streams.
Must have hands-on experience with marketplace seller centre and platform analytics.
...