Financial Planning & Analysis Analyst

Prime System Solutions · Lahore, Lahore District; Punjab, Pakistan

Job Title:Financial Planning & Analysis Analyst

Timings:8 AM-5 PM EST (Onsite)

Location: Lahore / Islamabad

Job Overview:

We are seeking an experienced Senior Financial Analyst with 7–8 years of proven experience in financial planning, budgeting, forecasting, and data-driven decision support. The ideal candidate will bring strong analytical thinking, business acumen, and the ability to translate complex financial data into clear insights for leadership teams.

Key Responsibilities

• Lead the budgeting, forecasting, and financial planning cycles, ensuring accuracy and alignment with business goals.
• Conduct variance analysis, trend analysis, and financial modeling to support strategic decision-making.
• Prepare and present management reports, dashboards, and financial insights for senior leadership.
• Evaluate financial performance by tracking KPIs and identifying areas for improvement.
• Support investment decisions through ROI analysis, cost-benefit evaluations, and scenario modeling .
• Collaborate with cross-functional teams (Operations, Sales, HR, etc.) to align financial plans with organizational strategy.
• Ensure the accuracy and compliance of financial data, supporting audits when required.
• Recommend process improvements to enhance efficiency and reporting quality.

• Bachelor’s or Master’s degree in Finance, Accounting, Economics, or a related field.
• 7–8 years of experience in financial analysis, FP&A, or corporate finance.
• Strong command of financial modeling, forecasting, and advanced Excel/Google Sheets.
• Experience with ERP and financial reporting tools (e.g., SAP, Oracle, NetSuite, Power BI).
• Ability to analyze large datasets and summarize insights clearly.
• Excellent communication, presentation, and stakeholder management skills.
• Strong attention to detail, problem-solving capability, and analytical mindset.
• Professional certifications such as CFA, ACCA, CPA, or CA finalist.
• Experience in a fast-paced or multinational environment.
• Familiarity with automation and data visualization tools.