Explore the data and discovers patterns, meaningful relationships, anomalies, and trends.
Perform programming analyses for a wide range of requests using data in different formats and from various platforms.
Ensure documentation is created and maintained.
Implement tools and frameworks for automating report generation, identification of data-quality issues, and data-governance.
Lead the integration efforts for merging BI platforms with enterprise systems and applications.
Work with BI Analysts during implementation, gathering additional information when needed and keeping the business informed.
Implement data structures using best practices in data modeling, processes, and technologies.
Analyze business and functional requirements and translates these requirements into robust, scalable, operable solutions.
Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
Interface with Architects to recommend new technology opportunities that will have an impact on BI systems.
Candidate Skill Set
Expert skills in data analysis and data mining.
Hands-on experience supporting or working with Business Intelligence/Data Warehousing environments.
Experience leading teams.
Experience in a Unix / Oracle environment required.
Experience supporting ETL processes in an Oracle environment preferred.
Experience with additional database technologies (MySQL, MS-SQL, etc.) a plus.
Experience supporting an enterprise Business Intelligence / Reporting tool, i.e. IBM Cognos, SAP BusinessObject, Oracle OBIEE; preference for IBM Cognos.
Experience supporting and developing visualizations and interactive reports using Tableau or a similar tool a plus.
Experience with one or more scripting languages, i.e. bash / Bourne shell, Perl, Python a plus.
Experience with C/C++/Java a plus.
Experience in using Agile methodology (Scrum) a plus.
Most Important Points:
Experience with ETLs scripted in a Unix environment (shell/perl scripting & sql)
Experience in an environment with separate dev/test/production servers - strong understanding of best release practices
Experience in Data Warehouse data modeling