About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

 By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

 Job duties: 

• Resource should have experience more than 10 year of experience.
• Should have dimensional modeling exposure with Erwin/ Power Builder tools.
• Exposure in Oracle/DB2/SQL Server and Netezza database.
• Understand and translate business needs into data models supporting long-term solutions.
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
• Optimize and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges and propose appropriate solutions.
• Develop data models according to company standards.
• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
• Examine new application design and recommend corrections if required.
• Good analytical skill with experience on data analysis
• Excellent communication skills, both verbal and written to be able to communicate with business team directly

 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law