The Systems Analyst focuses on the architecture, scalability, and integration of the broader technical landscape. Working as a peer to Application and Data Leads, this role ensures the ecosystem is robust, AI-ready, and capable of handling enterprise-level growth, and take a lead role in designing how different systems interact and ensuring that data pipelines are optimized for high-volume processing and AI governance.
Key Focus: Prioritizes solution ROI by ensuring system scalability, strategic insights, and competitive AI integration while collaborating as a peer to technical Leads.
Key Responsibilities:
- Ecosystem Architecture: Design and implement seamless integrations between core applications and third-party services.
- Strategic Data Architecture: Coordinate with the Data Lead to design complex database schemas and optimized pipelines for heavy loads.
- Predictive Analysis: Use historical data to perform diagnostic deep-dives and develop models to forecast future system demands.
- AI Governance: Oversee the quality and security of data pipelines used for machine learning and AI-driven automation.
- Integrated Solutioning: Partner with Leads to translate high-level business goals into robust technical specifications and long-term roadmaps.
Required Qualifications:
- Technical Mastery: Expert-level Database Scripting (performance tuning, schema design) and SDLC methodologies.
- AI Implementation: Proven experience building AI-ready data structures and implementing automated AI agents.
- Analytical Depth: Ability to perform deep-dive diagnostic analysis on multi-tiered system failures.
- Preferred Skills : SQL, Python and Looker Studio
