Senior Analytics Specialist
1 week ago
Basic/Required Qualifications:
• Over 7 years of experience in developing and supporting analytical solutions.
• At least 3 years of expertise in managing Power BI, including its deployment, configuration, and ongoing maintenance.
• Proficient in Python management, covering deployment, configuration, and maintenance of Python systems.
• Minimum of 3 years working with financial data, processes, platforms, and key stakeholders.
• Bachelor's degree or higher in Computer Science, Information Technology, or a related field.
Preferred Qualifications:
• 3+ years of experience with IaaS and PaaS services in a corporate setting.
• 3+ years of experience utilizing automation tools such as Shell, Python, and PowerShell.
• 3+ years of experience in database design, deployment, and support.
• 3+ years of experience in Data Science.
• Familiarity with integration tools like SSIS or Informatica.
• Microsoft certifications in Power BI or related technologies.
Daily Responsibilities:
• Oversee and maintain the Power BI Premium node, workspaces, and gateways for Finance, CP&D, and Reserves, ensuring proper deployment, configuration, and governance in collaboration with enterprise partners.
• Manage the Python environment for Finance, CP&D, and Reserves, including deployment, configuration, and governance alongside enterprise partners.
• Develop and support analytical solutions using SpotFire, Power BI, Python, BObj, SQL, ETL, and other technologies for Finance, CP&D, and Reserves.
• Mentor IT Analytics staff in Power BI skill enhancement.
• Provide consultation and governance for the Citizen Development program within Finance, CP&D, and Reserves, ensuring compliance and sustainability.
• Guide technology teams embedded in business units in delivering Citizen Development solutions.
• Address and implement Citizen Development solutions in a controlled IT environment when they present risks related to control span, potential data exposure, or critical business processes.
• Assist the Data Architect in developing, communicating, and executing the data vision, strategy, and roadmap that aligns with both enterprise and constituent strategies.
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