工作描述
7 天前
Our client, a reputable insurer, is seeking a BI Developer with exposure in Power BI and cloud technologies, preferably Azure. This role involves designing data models for business reporting & analytics, developing dashboards for data-driven decisions, automating workflows for operational efficiency, and supporting cloud transformation and Azure deployment.
Key Responsibilities:
• Design, develop, and implement comprehensive BI solutions, including dashboards, reports, and visualizations.
• Develop and maintain complex SQL queries, stored procedures, and ETL processes to ensure data integrity and availability.
• Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
• Design and develop data models and schemas that support reporting and analytics.
• Monitor and enhance the performance of BI solutions by optimizing queries, data models, and ETL processes.
• Troubleshoot and resolve issues related to BI tools, data quality, and data integration.
• Stay updated with the latest BI trends, tools, and technologies, and evaluate their potential impact on the organization.
• Collaborate with different teams to understand and prioritize analytical needs, identify key performance indicators (KPIs), and deliver actionable insights to decision-makers.
• Develop best-practice reports and dashboards based on data analysis, mining, and visualization principles.
Key Requirements:
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Economics, or Information Management.
• Expertise in business intelligence development
• Proven experience in designing and developing complex Power BI dashboards and reports
• Technical work experience with ETL, data models
• Strong SQL skills and experience with relational databases
• Experience with cloud-based BI and data solutions (e.g., Azure, AWS, Google Cloud)
• Hands-on experience in analyzing data in both structured and unstructured formats
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
• Ability to derive and interpret critical metrics to improve product functionality and user experience.
• Strong analytical abilities with a keen attention to detail and accuracy in handling large datasets.
Key Responsibilities:
• Design, develop, and implement comprehensive BI solutions, including dashboards, reports, and visualizations.
• Develop and maintain complex SQL queries, stored procedures, and ETL processes to ensure data integrity and availability.
• Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
• Design and develop data models and schemas that support reporting and analytics.
• Monitor and enhance the performance of BI solutions by optimizing queries, data models, and ETL processes.
• Troubleshoot and resolve issues related to BI tools, data quality, and data integration.
• Stay updated with the latest BI trends, tools, and technologies, and evaluate their potential impact on the organization.
• Collaborate with different teams to understand and prioritize analytical needs, identify key performance indicators (KPIs), and deliver actionable insights to decision-makers.
• Develop best-practice reports and dashboards based on data analysis, mining, and visualization principles.
Key Requirements:
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Economics, or Information Management.
• Expertise in business intelligence development
• Proven experience in designing and developing complex Power BI dashboards and reports
• Technical work experience with ETL, data models
• Strong SQL skills and experience with relational databases
• Experience with cloud-based BI and data solutions (e.g., Azure, AWS, Google Cloud)
• Hands-on experience in analyzing data in both structured and unstructured formats
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
• Ability to derive and interpret critical metrics to improve product functionality and user experience.
• Strong analytical abilities with a keen attention to detail and accuracy in handling large datasets.
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