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 Degree in Business, Operations, Marketing, or a related field.
Minimum 2–3 years of experience in Dealership Operations, GTM Strategy, or Channel Enablement, ideally within the automotive, digital, or retail sectors.
Solid understanding of dealership environments, SOP development, and performance tracking.
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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.
...
Digital Marketing Strategy
Content Marketing
Social Media Marketing
Analytics and Reporting
Campaign Management
Paid Advertising
Marketing Automation
AI
Sales Administration
Customer Relationship Management (CRM)
Order Processing
Data Entry
Microsoft Office Suite
Communication Skills
Time Management
Time Management
Customer Service
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.
...
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.
...
Qualifications:• A degree holder, preferably in Marketing, Business, Data Analytics, Statistics, Information Systems, Computer Science, or a related discipline.• Minimum Years of Experience: 3 – 5 yearsCompulsory Skills:• CRM, Loyalty, or Digital Marketing experience• Strong analytical and problem-solving skills• Advanced Microsoft Excel and PowerPoint skills• Experience in campaign performance reporting and dashboarding• Experience working with data and systems• Stakeholder and vendor management skills• UAT testing and issue tracking experience• Ability to analyse and translate data into actionable business insightsNice-to-Have Skills:• Loyalty programme experience (e.g. airline, telco, banking, or retail)• Power BI, other visualisation tools• Experience supporting technology delivery or Agile projects• Experience with CRM platforms such as Capillary, Salesforce, Adobe Campaign, or Braze