FP&A Data Analyst: Forecasting, Dashboards & Automation

JSIT for WST (Wholesale Trade) by Singapore Business Federation (SBF); Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Wholesale Trade Company, supported by the Singapore Business Federation (SBF) under the JSIT WST initiative, is seeking a meticulous Data Analyst (FP&A) to drive data-led financial planning and analysis. You will develop forecasting models, finance dashboards and automated reporting to support strategic decisions.

You will lead budgeting, rolling forecasts and variance analyses, partnering with Data Engineering on data definitions and pipelines to empower finance dashboards and a semantic layer

Qualifications

• 3–5 years of experience in FP&A, finance analytics or management reporting.
• Strong SQL skills to extract and aggregate data from relational databases.
• Advanced Excel modelling, pivot/lookup mastery and maintainable Finance models.
• Experience with Python for data manipulation and automating reporting tasks.
• Understanding of financial statements, unit economics and performance metrics.

Responsibilities

• Lead and support the annual budget, rolling forecasts and scenario planning.
• Build and maintain forecasting models (volume, price, mix, cost) and validate against actuals.
• Develop finance dashboards (Power BI) to explain revenue, gross margin, opex and cash trends.
• Automate monthly management reporting to shorten the reporting cycle.
• Define KPI logic and ensure reproducibility of numbers.

Skills

SQL

Excel

Python

Forecasting

Power BI

Education

Bachelor's degree in Finance/Accounting or related field

Tools

Power BI

Job description

Wholesale Trade Company, supported by the Singapore Business Federation (SBF) under the JSIT WST initiative, is seeking a meticulous Data Analyst (FP&A) to drive data-led financial planning and analysis. You will develop forecasting models, finance dashboards and automated reporting to support strategic decisions.

You will lead budgeting, rolling forecasts and variance analyses, partnering with Data Engineering on data definitions and pipelines to empower finance dashboards and a semantic layer