Data Analyst

Role Overview

• 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 clear 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.
• 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 repeat errors and follow the first-time correct approach.
• Suggest small, incremental process improvements (e.g., checklists, prompts, query snippets) for senior review and approval.
• Participate in automation
• and AI-assisted workflows and small pilots under governance, using approved tools and prompts to support efficiency, exception handling, and quality improvement.
• Coordinate with immediate team members to clarify requirements and resolve day-to-day data issues.
• Share timely updates with senior team members on production volumes, issues, and delays.
• Participate in team stand-ups, huddles, and calibration sessions to align priorities, quality expectations, and standards.

Requirements

• Bachelor's degree in Finance, Economics, Commerce, Science, Engineering, or related fields.
• 0–2 years of relevant experience in data operations, research, or related roles (internships included).
• Familiarity with structured/unstructured data formats (Excel, PDFs, filings, news, vendor feeds, etc).
• Beginner knowledge of SQL/Excel for querying, filtering, and reconciling data.
• Awareness of automation and GenAI tools; ability to follow prescribed usage patterns.
• Basic understanding of financial/market or domain data concepts relevant to the assigned dataset.
• Ability to perform data entry, tagging, and basic enrichment accurately.
• Capability to read and interpret simple source materials (e.g., filings, vendor feeds, news).
• Structured escalation of exceptions with appropriate evidence and context.
• Ability to quickly learn and work with enterprise data capture tools, workflow systems, and ticketing platforms.

Tech Stack

• SQL

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.