Data Analyst

Role Overview

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.

What You Will Do

Research, collect, and validate transaction-related data from filings, regulatory documents, press releases, and financial disclosures. Execute sourcing, tagging, loading, and basic enrichment activities in strict adherence to SOPs, rule books, and predefined validation checks.

Why It Might Be a Fit

Employees in these roles are responsible for ensuring the accuracy, comprehensiveness, and timeliness of data. In addition to collecting and validating the data, this role requires working with peers, other stakeholders and on process improvement projects.

Requirements

• Graduate (BBA/B.Com/BMS) OR Post-Graduate / MBA in Finance as major Specialization with good academic track record
• 1–3 years of relevant experience in data operations, research, or related roles (internships included)
• Experience of Mergers, Acquisitions, Capital Market Activities like IPO, Fixed Income Offerings, Follow On Offerings will be preferred
• Strong attention to detail and operational discipline; balance speed with accuracy
• Familiarity with structured/unstructured data formats (Excel, PDFs, filings, news, vendor feeds, etc)
• Capability to read and interpret simple source materials (e.g., filings, vendor feeds, news)
• Beginner knowledge of SQL/Excel for querying, filtering, and reconciling data
• Awareness of automation and GenAI tools; ability to follow prescribed usage patterns

Benefits

• Health & Wellness
• Flexible Downtime
• Continuous Learning
• Invest in Your Future
• Family Friendly Perks
• Beyond the Basics

Tagged as: Data Analysis