Data Analyst – Financial Planning & Analysis

About the role

The Data Analyst – Financial Planning & Analysis (FP&A) will deliver business intelligence, financial analytics, and automated reporting solutions to support strategic and operational decisions. You will work with telecom data from multiple source systems, develop interactive dashboards, and provide insights into revenue, cost, customer, and profitability trends.

Key responsibilities

• Extract, validate, transform, and manage data from BSS/OSS, data warehouse, and other enterprise platforms using SQL and BI tools.
• Develop, maintain, and enhance interactive dashboards and reports with Power BI or Tableau to monitor financial and commercial KPIs.
• Automate recurring reports and reporting processes to improve efficiency and accuracy.
• Serve as the primary FP&A contact for ad‑hoc reporting, data analysis, and business information requests.
• Analyze customer, revenue, usage, and cost performance using segmentation, cohort analysis, LTV, and profitability analysis.
• Support budgeting, rolling forecasts, and financial planning through modeling, trend analysis, and scenario planning.
• Monitor actual vs. budget vs. forecast performance, perform variance analysis, and provide actionable recommendations.
• Enable self‑service reporting for finance and business stakeholders.

Required profile

• Bachelor's degree in Engineering, Computer Science, Finance, Information Systems, Data Analytics or related field (Master's preferred).
• 3–5 years of experience in data analytics, business intelligence, FP&A or financial analytics.
• Strong hands‑on experience with SQL for data extraction, transformation and analysis.
• Proficiency in Power BI and/or Tableau for dashboard development.
• Advanced Microsoft Excel skills, including Pivot Tables, Power Query, Power Pivot and financial modeling.
• Experience working with large datasets and enterprise data warehouses.
• Understanding of budgeting, forecasting, financial reporting and variance analysis.

Required skills

• SQL
• Power BI
• Tableau
• Microsoft Excel (Pivot Tables, Power Query, Power Pivot)
• Financial modeling