Basic/Required:
• 7+ years of experience in Analytics solution development and support
• 3+ years of experience in Power BI administration, including deployment, configuration, and maintenance of Power BI infrastructure.
• Experience in Python administration, including deployment, configuration, and maintenance of Python infrastructure.
• 3+ years of experience with Finance data, processes, platforms, primary constituents, and service delivery partners
• Bachelor's degree or higher in Computer Science, Information Technology, other related IT business field
Preferred:
• 3+ years of experience operating or using IaaS and PaaS services in an enterprise environment.
• 3+ years of experience using automation tools such as: Shell, Python, PowerShell, etc.
• 3+ years of experience in DB design, deployment, support
• 3+ years of Data Science experience
• Experience with SSIS, Informatica, or other integration tools
• Microsoft certifications in Power BI or related technologies
Day to Day:
• Administer and maintain the Finance, CP&D, and Reserves Power BI Premium node, workspaces, gateways - which includes the deployment, configuration, and administration/governance in conjunction with the Enterprise partners
• Administer and maintain the Finance, CP&D, and Reserves Python environment which includes the platform’s deployment, configuration, and administration/governance in conjunction with the Enterprise partners
• Develop and support Finance, CP&D, and Reserves Analytics SpotFire, PBI, Python, BObj, SQL, ETL, and other solutions.
• Mentor Finance IT Analytics staff Power BI skill development
• Consult and govern the Finance, CP&D, and Reserves Citizen Development (CD) program – ensuring compliant and sustainable solutions.
• Consult /guide business-embedded technology teams delivering CD solutions.
• Escalate/implement CD solutions in a controlled IT environment when they pose risk due to span of control, possible data exposure, perform a critical business process, etc.
• Help the Data Architect develop, communicate, and implement the Data vision, strategy, and roadmap that supports both Enterprise and constituent strategies.
