Vacancy expired!
- Manage the data analysis and design of analytics products across a focused area of the business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals
- Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs.
- Lead structured, end-to-end analysis to inform product strategy, data architecture and reporting decisions.
- Analyze existing datasets and interfaces to understand and document current state data architectures.
- Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards.
- Drive data architecture that enforces consistency across the data landscape with an emphasis on single sources of truth
- Perform extensive data profiling to understand data behavior and business rules.
- Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences.
- Drive adoption of and socialize data products with end users through user training.
- Leverage frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics.
- Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
- Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax.
- Bachelor's degree in Business, Statistics, Mathematics, Economics, Technology, Computer Science or other related fields preferred. Will accept suitable combination of education and experience.
- 6+ years of experience designing Data Warehouse, BI or Analytics solutions
- Excellent problem-solving and interpersonal communication skills
- Proven ability to deliver on commitments
- Comfortable working in a fast-paced, results-oriented environment
- Business process acumen and ability to map processes to data models and architectures
- Experience in dimensional modeling
- Expert level proficiency in SQL
- Experience analyzing large structured and unstructured datasets
- Demonstrated ability to develop structured analysis that support data architecture design
- Experience defining data architectures to support data visualization tools such as Tableau, IBM Cognos, and PowerBI
- Experience defining data architectures to support semantic data layers, such as SSAS Cubes/Tabular and Cognos Packages.
- Solid understanding of various database management systems like Oracle, MySQL, Teradata, Netezza, SQL Server, or DB2
- Working understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how they’re applied in workplace culture
- Experience with cloud environments such as Microsoft Azure, Google Cloud, and AWS.
- Experience with Big Data and NoSQL technologies like Hadoop, HBase, Spark, Impala, Cassandra, Storm, Flume, Pig, or Hive
Vacancy expired!