Job Summary

The Data Analyst is an individual contributor role that develops foundational proficiency in one or more workflows or datasets. The role supports end-to-end data lifecycle activities including sourcing, basic validation, enrichment, and delivery under guidance, adhering strictly to standard operating procedures (SOPs) and set guidelines, and escalating deviations for a defined dataset or workflow. The role emphasizes building strong data literacy and operational discipline, learning industry concepts, and collaborating with other data research teams. Associates contribute to UAT and day-to-day solutioning, follow established standards, and participate in continuous process improvement and the adoption of technology and AI-enabled workflows.

Key Responsibilities Operational Delivery
- Collect, extract, and cleanse data for assigned workflows or datasets from structured and unstructured sources.
- Execute sourcing, tagging, loading, and basic enrichment activities in strict adherence to SOPs, rule books, and predefined validation checks.
- Execute day-to-day data collection,



extraction, and basic cleansing using approved manual and AI-assisted methodologies.
- Record production accurately in workflow and queue management tools, ensuring transparent notes for traceability and handovers.
- Monitor assigned queues and proactively flag delays, blockers, data gaps, or unusual patterns for senior team members.
- Operate within approved rules and workflows; pause processing and escalate promptly when inputs deviate, or sources are unclear.
- Meet defined daily and weekly production and quality targets for assigned queues.
- Provide clear logs and supporting evidence to enable basic root-cause analysis when issues occur.

Process Excellence
- Maintain audit-ready documentation and follow established handover protocols and controls.
- Adhere consistently to governance standards, controls, and documentation requirements.
- Apply quality feedback consistently to reduce r

📌 Data Analyst (Ahmedabad)
🏢 S&P Global Market Intelligence
📍 Ahmedabad