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Finance Analyst

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Onsite

Finance Analyst

SCHUCO

Finance Analyst

Skills

Data AnalysisPower BI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹800,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Key Responsibilities:

  • Collect, analyse, and interpret large datasets from multiple sources to identify trends, patterns, and key insights related to revenue, profitability, and other critical financial indicators.
  • Conduct business case analyses for projects and strategic initiatives to support informed decision-making.
  • Support pricing reviews and revisions through data analysis and market insights.
  • Develop, maintain, and enhance sales, financial, and operational dashboards and reports to monitor business performance and support management decisions.
  • Analyze existing business processes, identify improvement opportunities, and recommend solutions to enhance efficiency and effectiveness.
  • Create, maintain, and manage Project Management System (PMS) documentation to ensure business information is accurate, structured, and readily accessible.
  • Collaborate with cross-functional teams to understand business requirements and deliver actionable, data-driven insights.
  • Prepare and present weekly, monthly, and ad hoc business performance reports to management and other key stakeholders.
  • Stay current with emerging trends, technologies, and best practices in data analytics and business intelligence.
  • Perform ad hoc analyses and reporting to support operational, strategic, and business process requirements as needed.

Preferred Skills:

  • Minimum three to five years of proven experience as a Finance Analyst, Business Analyst, or in a similar role.
  • Proficiency in Microsoft Office (Excel, Word, and PowerPoint) and Power BI.
  • Strong analytical and problem-solving skills, with excellent communication and presentation abilities.
  • Ability to work independently and as part of a team.
  • Attention to detail and a strong commitment to quality.

Qualification:

  • Preferably postgraduate or B.Com; semi-qualified CMA/CWA candidates may also be considered.
  • A professional management programme such as Data Analytics or Power BI is desirable.

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