Posted:5 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Key Responsibilities

1. Financial Analysis & Reporting

  • Analyze financial statements (P&L, Balance Sheet, Cash Flow) and key business metrics.

  • Prepare monthly, quarterly, and annual performance reports.

  • Track KPIs and provide variance insights, risks, and opportunities.

  • Develop executive-level presentations and dashboards for leadership.

2. Data Modeling & Forecasting

  • Build financial models for revenue, cost, margin, and cash flow forecasting.

  • Support budgeting, reforecasting, and long-range planning.

  • Conduct scenario modelling, sensitivity analysis, and risk assessments.

3. Business Insights & Decision Support

  • Deliver data-backed recommendations to improve revenue and cost efficiency.

  • Collaborate with Operations, Sales, HR, Supply Chain, and other functions.

  • Analyze customer behavior, pricing models, sales trends, and operational performance.

4. Data Management & Automation

  • Clean, validate, and organize large datasets from ERP, CRM, PMS, POS, and BI tools.

  • Automate recurring reports using dashboards, scripts, or BI platforms.

  • Coordinate with IT/data teams to ensure data accuracy and governance.

5. Tools, Dashboards & Visualization

  • Build dashboards using Power BI, Tableau, Qlik, or similar BI tools.

  • Create clear visualizations for financial insights and leadership updates.

  • Present complex data in a simplified, decision-ready format.

6. Compliance & Risk Monitoring

  • Support internal audits and financial control checks.

  • Ensure adherence to accounting standards and company policies.

  • Identify anomalies, overspending, revenue leakages, and risks through analytics.

Requirements

Qualifications & Experience

  • Bachelor’s degree in Finance, Accounting, Economics, Data Science, or related field.

  • 2–5 years’ experience in financial analytics, FP&A, or data analysis roles.

  • Strong skills in Excel, dash boarding, and financial modelling.

  • Working knowledge of Power BI/Tableau; SQL, Python, or R is an added advantage.

  • Solid understanding of corporate finance, accounting principles, and KPI frameworks.

  • Excellent analytical, communication, and problem-solving skills.

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