The purpose of the role is to enable data-driven strategic and operational decision-making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualizations and reports. This involves investigating and analyzing data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. It also includes designing and building data pipelines to automate data movement and processing, applying advanced analytical techniques to large datasets to uncover trends and correlations, developing validated logical data models, and translating insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. The role also involves designing and creating interactive dashboards and visual reports using applicable tools and automating reporting processes for regular and ad-hoc stakeholder needs.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed