Lead Data Analyst

We are seeking a highly skilled and proactive Lead Data Analyst to lead the migration of legacy QlikView dashboards to TIBCO Spotfire. This role involves analyzing existing QlikView assets, designing equivalent or enhanced visualizations in Spotfire, and ensuring a smooth transition with minimal disruption to business users. The ideal candidate will combine strong technical expertise with business acumen and leadership capabilities.

Key Responsibilities:

• Lead the end-to-end migration of QlikView dashboards and reports to TIBCO Spotfire.
• Perform in-depth analysis of existing QlikView data models, visualizations, and business logic.
• Redesign and enhance dashboards in Spotfire while ensuring consistency and improved user experience.
• Collaborate with business stakeholders to validate requirements and ensure migrated dashboards meet business needs.
• Coordinate with data engineers to align backend data sources and ETL pipelines for Spotfire compatibility.
• Develop documentation, user guides, and training materials to support adoption.
• Establish and enforce best practices in data visualization, governance, and performance optimization.
• Mentor and guide junior analysts on Spotfire capabilities and dashboard development.
• Provide status updates to leadership and manage risks/issues during the migration process.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
• 8+ years of experience in data modelling, data analytics, with hands-on expertise in both QlikView and TIBCO Spotfire.
• Proven experience in migrating QlikView dashboards to Spotfire or similar BI platform transitions.
• Strong SQL skills and understanding of relational databases and data modeling concepts.
• Demonstrated ability to analyze business logic and replicate it accurately in a new tool.
• Strong communication and stakeholder management skills.
• Experience with version control, Agile methodologies, and project management tools.
• Experience in automative domain is a plus.