IBM Cognos

Job Description

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title :IBM Cognos. Key Skills : AWS cloud fundamentals,S3, EC2, RDS, IAM,data modeling, ETL . Job Locations : Pan India Experience :4 - 6 Education Qualification : Any Graduation. Work Mode : Hybrid. Employment Type : Contract. Notice Period : Immediate Job responsibilities: + years of experience in BI development or data analytics roles . Strong hands-on experience with COGNOS BI (Report Studio, Query Studio, Framework Manager). Proficiency in PostgreSQL including writing complex queries, functions, and performance tuning. Understanding of AWS cloud fundamentals (S3, EC2, RDS, IAM, etc.). Experience with data modeling and ETL processes. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Design, develop, and maintain reports and dashboards using COGNOS BI. Collaborate with stakeholders to gather reporting requirements and translate them into actionable insights. Work with PostgreSQL databases to extract, transform, and load (ETL) data for reporting and analytics. Apply AWS Fundamentals to support cloud-based data storage, compute, and analytics workflows. Ensure data accuracy, consistency, and performance across BI solutions. Support data governance and security best practices in cloud and on-prem environments. Troubleshoot and optimize BI reports and database queries for performance. Document BI processes, data models, and reporting standards.