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Key job responsibilities
• The role requires to manage a Business Intelligence team with limited guidance. You hire the right job families (e.g. business intelligence engineers, business analysts, data engineers) to accomplish team goals. You are able to assess and manage performance. You take effective action addressing employee concerns. You are able to hire, develop, and promote team members.
• The role requires to set team priorities, partnering effectively with customers and stakeholders. You establish a roadmap and successfully deliver BI solutions that meet the business needs.
• The role requires to influence both business and technical teams that overlap in organizational business/technology areas.
• The role requires to proactively identify risks or cross-organizational dependencies, and bring them to the attention of your manager, customers, or stakeholders with plans for mitigation before they become roadblocks. You know when to escalate.
• The role requires to build mechanisms and standards for ensuring engineering excellence (e.g. correctness and efficiency) and operational excellence (e.g. quality, consistency, and reliability).
• The role requires to define metrics to measure your team’s progress, data/solution quality, and engineering/operational excellence.
• The role requires to deliver BI solutions for complex problems, often at the architectural level and often in conjunction with other engineering teams.
• The role requires to think strategically and make trade-offs. Your decisions impact the organization’s BI infrastructure, including resources and cost.
• The role requires to communicate ideas effectively, both verbally and in writing, to all types of audiences. You are able to contribute narratives to strategic documents.
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
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