Summary
Data and Analytics Professional Responsibilities
Highlights
Business and Strategic Support
Professionals in this role address business problems using analytics, big data, and automation. They contribute to business cases, support process improvements, and apply strategic principles to solve routine functional issues while maintaining data governance standards.
Data Engineering and Pipeline Development
The role involves extracting data from databases, creating pipelines, and transforming information into actionable structures. It requires performing data quality checks, identifying fit-for-purpose data sources, and staying current with evolving data science trends.
Data Modeling and System Architecture
This position requires the analysis of complex data flows and dependencies to build conceptual, logical, and physical data models. This includes designing data warehouses, defining relational structures, troubleshooting integration challenges, and ensuring overall database efficiency.
Development and Mentorship
The role encompasses writing code for application features, overseeing the tasks of junior team members, providing technical support, and creating training materials to educate end-users on data modeling processes.