Data Analyst
July 23
Description
• Our Data Analyst welcome any chance to innovate and use their initiative, but they do so while implementing according to best practices to produce tested, secure, reliable, and scalable solutions • Design and implement improvements that assist our teams to deliver effectively and efficiently while maintaining the highest level of quality through the integration of QA automation and other risk mitigation measures • Collaborate with different teams to ensure our data infrastructure is secure, stable, maintained, monitored, and architected for scalability and high availability with automation and disaster recovery • Assist with problem resolution and incident management, reporting performance statistics, tracking root causes and providing comprehensive resolution reporting • Develop a holistic understanding of our proprietary system, business processes and the technology involved; proactively identify any shortcomings in understanding by facilitating the sharing of knowledge, ideas and insights amongst the team and contributing to our knowledge base • Be mindful of the team's objectives and be supportive of the team's processes and activities. Proactively assess the current implementations, configurations, processes, platforms, technologies, budgets, strategies, and plans. • Be a pioneer, help drive our innovation and chart our course with iterative improvement. Proactively assess our current frameworks, strategies, and plans. Drive innovation and experimentation, identifying areas for improvement or new yet unexplored opportunities. • Adhere to Consumer Duty outcomes
Requirements
• Strongly experienced with relational database design and Microsoft SQL • Experienced with Microsoft Azure and DevOps • Experienced with Configuration Management • Experienced with High Availability • Experienced with Data Ingestion • Experienced with Data Governance • Experienced with Data Warehousing and Data Lakes • Experienced with a programming language (C#, Python, etc.) • Experienced with monitoring tools like DataDog, Redgate SQL Monitor, Zabbix, etc. • Experienced with Windows Server and IIS • Experienced with Power BI • Experienced working as part of an Agile Scrum team • BONUS: Experienced with Machine Learning or AI
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