Senior Data Architect / Analyst

IBM Consulting offers a career built on long-term client relationships and global collaboration. You’ll partner with leading companies across industries, shaping their hybrid cloud and AI journeys with support from strategic partners, IBM technology, and Red Hat. The role encourages curiosity, challenges norms, and fosters innovative solutions that deliver measurable client impact. IBM’s culture emphasizes growth, empathy, and long-term career development while valuing your unique skills and experiences.

Responsibilities

• Design business intelligence solutions, including full lifecycle implementation, to meet business requirements and improve performance.
• Develop logical and physical data models for business intelligence-specific information, ensuring data integrity and scalability.
• Optimize and tune business intelligence solutions for performance and efficiency.
• Collaborate with teams to build test strategies and validate solutions against business requirements.
• Deliver solution designs for dashboards, reporting, and integration that meet stakeholder expectations.

Requirements

• Experience selecting and implementing Business Intelligence (BI) tools such as Tableau, Cognos, and Qlik.
• Expertise in designing logical and physical data models for business intelligence, ensuring data integrity and scalability.
• Full lifecycle experience designing and implementing business intelligence solutions to meet business requirements.
• Skills in tuning and transforming business intelligence solutions for optimal performance.
• Experience designing technical components of BI solutions, including reporting wireframes and dashboards.
• Top Secret clearance with SCI access is required.

Preferred Qualifications

• Master’s degree.
• Experience developing strategies for business intelligence solutions, aligning with business objectives, and identifying improvement opportunities.
• Advanced knowledge of logical and physical data modeling for business intelligence, including data architecture design and data quality assurance.
• Proven skills in performance optimization, including identifying bottlenecks, optimizing configurations, and implementing best practices.