Develop variable tools for stakeholders to boost operational working efficiency.
Build and implement data visualization of reports and dashboards for management and business users.
Critically evaluate and define business metrics; develop the analysis that leads to actionable insights to support the continuous improvement of the Retail Finance business.
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Design, automate, and maintain mission-critical dashboards for our business units using SQL and/or Pyspark
Support the campaign events, including the pre-campaign audience selection, in-campaign tracking, and post-campaign evaluation.
Bachelor’s degree and above in Business Analytics, Information Technology, Computer Science/Engineering, Finance/Banking, Statistics and other related fields
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Consolidate data from multiple data sources to create integrated views, reports, and dashboards to monitor business performance.
Work with the data engineering team to structure, curate, and optimize data marts to support scalable data applications
Develop variable tools/workflows and optimize existing processes to boost operational working efficiency, in both traditional and GenAI approaches.
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Consolidate, structure, and maintain data from multiple sources to create comprehensive dashboards, reports, and KPIs for strategic decision-making.
Collaborate closely with data engineering teams to architect and optimize data marts, pipelines, and scalable analytics solutions.
Develop, maintain, and enhance variable tools, workflows, and operational processes, leveraging both traditional and GenAI approaches to maximize efficiency and accuracy.
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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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