Analyze cross-channel effects — for example, whether TikTok investment subsequently lifts Shopee or Lazada sales, shifts search behaviour, or drives new customer acquisition — rather than evaluating each channel in isolation
Run cohort analysis to understand acquisition, repeat purchase, and retention patterns across markets and channels
Build or interpret lifetime value (LTV) views, and identify which marketing activities are driving valuable, retained customers rather than only immediate conversions
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Identify opportunities across data flows, reporting gaps and governance structures to recommend standardization, automation and process improvements that strengthen operational performance.
Define data source, integration, transformation, semantic model and consumption requirements that enable Azure data platform initiatives to deliver at scale. Partner with analytics teams to shape Power BI dashboards, Key Performance Indicator (KPI) frameworks, reporting journeys and self-service tools that empower business users to make confident, data-driven decisions.
Frame and validate Gen AI use cases by defining business problems, success measures and responsible human-in-the-loop review processes that ensure safe and effective adoption.
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Identify opportunities across data flows, reporting gaps and governance structures to recommend standardization, automation and process improvements that strengthen operational performance.
Define data source, integration, transformation, semantic model and consumption requirements that enable Azure data platform initiatives to deliver at scale. Partner with analytics teams to shape Power BI dashboards, Key Performance Indicator (KPI) frameworks, reporting journeys and self-service tools that empower business users to make confident, data-driven decisions.
Frame and validate Gen AI use cases by defining business problems, success measures and responsible human-in-the-loop review processes that ensure safe and effective adoption.
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Statistical Analysis: Assist in in-depth analysis using methods like A/B testing, regression, penetration, benchmarking, projection, assist in evaluating model performance, and interpret data to provide actionable insights.
Data Integrity: Ensure data integrity and accuracy by implementing best practices in data management and governance.
Project / Study: Engage in end-to-end in-depth analyses or projects, and provide actionable next steps to address business challenges.
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Statistical Analysis: Assist in in-depth analysis using methods like A/B testing, regression, penetration, benchmarking, projection, assist in evaluating model performance, and interpret data to provide actionable insights.
Data Integrity: Ensure data integrity and accuracy by implementing best practices in data management and governance.
Project / Study: Engage in end-to-end in-depth analyses or projects, and provide actionable next steps to address business challenges.
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Translate business requirements into reporting and analytical solutions that deliver actionable insights.
Utilize advanced Excel and Power Query capabilities to extract, transform, validate, and analyze large and complex datasets.
Perform data quality checks, identify data discrepancies, and work closely with relevant stakeholders to resolve data issues and improve data integrity.
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Extract, clean, transform, and analyse large datasets from multiple sources to generate meaningful insights for relevant departments.
Identify and analyse manual, repetitive, and inefficient operational processes that can be improved through data and automation.
Develop, maintain, and optimize automated workflows, scripts, and tools to improve operational efficiency, reduce manual effort, and minimize errors.
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