Business Intelligence Developer

• Collaborate with cross-functional teams to drive data enablement and data driven business decisions ensuring seamless integration and minimal disruption to daily operations
• Leverage Google Cloud Platform (GCP) services like BigQuery and Cloud Storage for efficient data warehousing, processing, and analytics at scale
• Identify, document, analyze, and communicate requirements for reporting analytics and decision support tools
• Conduct thorough analysis of data to identify patterns, anomalies, and signs of corruption
• Design, develop and maintain our reporting infrastructure using the various reporting stacks including Power BI, SSRS, Tableau, Looker, and QlikSense
• Lead efforts to apply software engineering best practices to analytics solutions
• Lead the efforts for platform documentation, version controlling, and production releases
• Utilize understanding of multiple data structures and sources to design, develop and implement decision support solutions, including data visualization, business intelligence, or data collection
• Conduct research and analysis of business situations to contextualize and summarize data for end users
• Develop innovative approaches to address complex data issues and business problems
• Collaborate with internal stakeholders to define business requirements and uses those requirements to develop business intelligence reports
• Evaluate business needs and objectives to inform your data architecture design solutions
• Analyze data from internal and external sources to ensure accurate data for analysts & business consumption
• Lead the effort to translate business needs into requirements to recommend and build reporting solutions
• Responsible for companywide Operational Readiness Production Testing reporting including requirement traceability, development completion rate, defect close rate, and ELT readout dashboards
• Support business case development with cost/benefit analysis for continuous funding and prioritization
• Drive a scalable and robust cross-domain E2E transformation through consistent metrics, reporting, analytics and predictive data science for Consumer and Business markets

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