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Assistant Manager Business Finance

workFinance & Accounts

Job ID: EOPMSPL

Location: Bengaluru

Careers

Assistant Manager Business Finance

workFinance & Accounts

Job ID: EOPMSPL

Location: Bengaluru

Data update as per latest quarterly results. Currently updated as of September 30, 2020 and excludes recently completed Embassy TechVillage Acquisition.

Role Overview

Preparing analyses (model building, scenario testing) to support business decisions with regards to forecasting, Annual/Quarterly operations (Common Area Maintenance Revenue and Expenses and other capex) budget.

Key responsibilities:

  • Preparing analyses (model building, scenario testing) to support business decisions with regards to forecasting, Annual/Quarterly operations (Common Area Maintenance Revenue and Expenses and other CAPEX) budget.
  • Deliver meaningful, accurate and timely in-depth business insights through forward-looking analysis and translate variances in financial and non-financial KPIs for senior leadership.
  • Tracking and monitoring CAPEX projects for various parks/assets.
  • Assist in monthly/quarterly closure activities, including coordinating with Statutory, Internal, Concurrent and Cost Audits.
  • Drive profitability through margin governance, including sustainable cost reduction initiatives.
  • Monitor and improve internal controls and implement process improvement initiatives.
  • Coordinate with various functions such as Procurement, Operations and other departments.

Qualifications and Work Experience:

  • Must be a Chartered Accountant / MBA (Finance) from a reputed institute with a minimum of 2 to 3 years of post-qualification working experience in financial control, management reporting and business analytics.

Knowledge, Skills, and Competencies:

  • Advanced technical skills in Excel, ERP (SAP preferred) and PowerPoint, with experience in reporting and analytical tools.
  • Good problem-solving skills with clear verbal and written communication.
  • Working knowledge of Ind AS and GAAP.
  • Strong attention to detail, consistent results and sharp analytical skills when working with large data sets.
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