Financial Analyst Eaglehires Hr Solutions

The Corporate Institute

Mumbai

On-site

INR 600,000 - 1,200,000

Full time

14 days+

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Job summary

The Corporate Institute is seeking a detail-oriented Analyst to gather, validate, standardize, and analyze financial estimates and market data from diverse sources. You will collaborate with internal research, product, and technology teams to ensure accurate consensus outputs that meet global quality standards.

You will drive data integrity, support modelling, and contribute to automation using Excel, VBA, and Python in a fast-paced environment.

Qualifications

  • Aggregate and standardize broker estimates and consensus data.
  • Validate data accuracy and track discrepancies.
  • Understand GAAP/IFRS in context of earnings data.
  • Maintain documentation of data methodologies.

Responsibilities

  • Aggregate and maintain consensus estimates across income statement, cash flow, and balance sheet.
  • Capture and standardize broker estimates for KPIs.
  • Track earnings releases, revisions, and guidance updates.
  • Incorporate estimate changes across reporting cycles (PreQ / PostQ).
  • Maintain historical consensus databases.
  • Interpret financial statements under GAAP/IFRS.
  • Support earnings calendars and dashboards.
  • Identify anomalies and ensure data quality.

Skills

Advanced Excel
GAAP/IFRS knowledge
Financial statement analysis
SQL basics
Python basics
Data tooling

Tools

Financial databases

Job description

Role Overview:

We are seeking a detail-oriented Analyst responsible for gathering, validating, standardizing, and analyzing financial estimates and market data from a variety of sources. The role involves collaborating with internal research, product, and technology teams to ensure accurate consensus outputs that meet global quality standards.

Key Responsibilities:
1. Consensus Data Management:
  • Aggregate and maintain consensus estimates (Income Statement, Cash Flow, Balance Sheet, Key Performance Indicators).
  • Capture and standardize broker estimates across various key financial line items and KPIs.
  • Track sector specific earnings releases, broker revisions, and management guidance updates.
  • Ensure timely incorporation of estimate changes across reporting cycles (PreQ / PostQ).
  • Monitor estimate dispersion and analyst coverage trends.
  • Maintain historical consensus databases.
2. Financial Statement & Earnings Analysis:
  • Interpret financial statements under various accounting standards (GAAP, IFRS etc.).
  • Track quarterly earnings releases and update models accordingly.
  • Reconcile reported numbers vs. consensus expectations.
  • Support creation of earnings calendars and estimate tracking dashboards.
  • Maintain event-based updates (M&A, restructuring, one-offs impacting consensus).
3. Data Quality & Validation:
  • Perform data integrity checks and quality control audits to ensure high data accuracy and consistency.
  • Identify anomalies, outliers, and broker inconsistencies.
  • Collaborate with internal QA and technology teams to strengthen validation frameworks.
  • Maintain documentation of data methodologies and workflows.
4. Financial Modelling Support:
  • Maintain standardized earnings models aligned with consensus inputs.
  • Assist in KPI mapping and non-GAAP metric standardization.
  • Contribute to sector-specific modelling frameworks.
  • Work with product teams to improve model structure and scalability.
5. Process Optimization & Automation:
  • Identify automation opportunities within data workflows.
  • Contribute to process documentation and SOP development.
  • Drive continuous improvement initiatives across the consensus lifecycle.
  • Support on implementation of Excel/VBA/Python-based efficiencies would be added advantage.
Technical Skills:
  • Advanced Excel (lookup functions, pivot tables, modelling).
  • Strong understanding of financial statements and revenue drivers.
  • Familiarity with financial databases and consensus platforms would be an added advantage.
  • Basic knowledge of SQL or data tools (good to have).
  • Comfort working with structured and large datasets.
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