Data Modeler

Cognizant Technology Solutions • Columbus, OH

89d • $120,000 - $130,000 • Hybrid

About The Position

We are Cognizant AIA - Artificial Intelligence and Analytics !! 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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!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 provide businesses with a clear way to transform how they source, interpret, and consume their information. We are seeking an experienced Data Modeler with 12 to 16 years of expertise in data mapping, integration, and modeling. The ideal candidate will possess a strong background in ANSI SQL, data analysis, and proficiency with tools such as IBM InfoSphere Data Architect and ERWin. This hybrid role demands a detail-oriented professional capable of designing and implementing logical and physical data models that support evolving business objectives.

Requirements

• 12 to 16 years of experience in data mapping, integration, and modeling.
• Strong background in ANSI SQL.
• Proficiency with tools such as IBM InfoSphere Data Architect and ERWin.

Responsibilities

• Design and maintain comprehensive logical and physical data models.
• Ensure models are scalable, efficient, and aligned with industry best practices.
• Use IBM InfoSphere Data Architect and ERWin for modeling tasks.
• Implement data mapping strategies to streamline data flow and enhance system performance.
• Collaborate with cross-functional teams to align models with business and technical specifications.
• Utilize ANSI SQL for complex data analysis and validation.
• Conduct thorough data analysis to identify trends, anomalies, and improvement opportunities.
• Provide technical expertise to project teams and stakeholders.
• Work closely with IT and business teams to resolve data-related issues.
• Document data modeling processes and methodologies for knowledge sharing.
• Monitor and optimize data models to improve performance and reduce redundancy.
• Stay updated with the latest trends and technologies in data modeling and integration.
• Contribute to the company's data strategy through insights and recommendations.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

What This Job Offers

• Industry: Professional, Scientific, and Technical Services