Deloitte Data Modeler in Davenport, Iowa
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our Project Delivery team.
Work you'll do/Responsibilities
Analyzing and translating business needs into long-term solution data models.
Working with the development team to create conceptual data models and data flows.
Evaluating existing data systems.
Evaluating implemented data systems for variances, discrepancies, and efficiency.
Reviewing modifications of existing systems for cross-compatibility.
Developing best practices for data coding to ensure consistency within the system.
Proposing and Implementing data strategies and developing physical data models.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Working experience with ERwin or any other data modeling tools and code repository (bit bucket) tools.
Good to have: SQL server, AWS Redshift, Athena services and Jenkins experience.
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Analytics & Cognitive will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
5+ years of hands-on experience with physical and relational data modeling.
Expert knowledge of metadata management and related tools.
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Excellent communication and presentation skills.
Advanced troubleshooting skills.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.