Commercial Insights Executive

F&N Foods Pte Ltd; Singapore; Vor Ort; SGD 60.000 - 100.000; Vollzeit

Zusammenfassung

F&N Foods Pte Ltd is seeking a Finance/Business Analytics professional to support profitable growth by translating data into actionable insights for Sales and Marketing decisions.

You will combine financial modelling and profitability analysis with commercial strategy, delivering dashboards and reports that guide monthly performance reviews and pricing considerations. Strong Excel, SAP and Power BI skills are essential for success in this role.

Qualifikationen

• Bachelor's degree in Finance, Business, Data Analytics or a related field.
• 2–3 years of experience in business analysis, profitability analysis or similar.
• Strong analytical and problem-solving skills with profitability metrics understanding.
• Advanced Excel skills with pivot tables and lookups; Power BI experience.
• Experience working with SAP systems, including data extraction.
• Meticulous and detail-oriented with data accuracy ownership.
• Able to multi-task in a fast-paced, cross-functional environment.

Aufgaben

• Engage stakeholders to understand business needs and translate into reporting requirements.
• Investigate performance gaps, identify drivers using data and propose corrective actions.
• Define KPIs and track progress to assess initiatives' impact.
• Coordinate requirements, user testing, rollout and post-implementation reviews.
• Deliver monthly and quarterly performance reports with insights for decisions.
• Model contract renewal and pricing scenarios to assess profitability.
• Collaborate with Sales and Marketing to evaluate ROI of campaigns and trade spend.
• Maintain and validate data from SAP and other sources for accuracy.

Kenntnisse

Analytical thinking

Profitability analysis

Financial modelling

Excel advanced

Cross-functional collaboration

Ausbildung

Bachelor's degree in Finance, Business, Data Analytics

Tools

Power BI

SAP data extraction

Jobbeschreibung

About the role

This role supports profitable growth by working closely with the Commercial team to evaluate brand and channel performance. It combines financial modelling, profitability analysis and commercial strategy, translating monthly performance data into clear, accurate insights and dashboards that guide Sales and Marketing decisions.

Key responsibilities

• Engage stakeholders to understand business needs and translate them into clear reporting and analytical requirements
• Investigate performance gaps, identify underlying drivers using data and recommend practical corrective actions
• Define success measures and track relevant KPIs to assess whether commercial and process initiatives deliver intended business outcomes
• Coordinate business requirements, user testing, rollout and post-implementation reviews for new reports, dashboards and process changes
• Deliver monthly and quarterly performance reports with clear context and insights to support decision-making
• Assess top‑line and bottom‑line performance across accounts, channels and segments to guide commercial decisions
• Model contract renewal and pricing scenarios, including sensitivity and breakeven analysis, to assess profitability
• Collaborate with Sales and Marketing to evaluate the ROI of campaigns, promotions and trade spend
• Maintain and validate data from SAP and other sources to ensure datasets are accurate, complete and reliable
• Partner with Commercial and Finance teams to align budget planning with sales objectives and business priorities

About you

• Bachelor's degree in Finance, Business, Data Analytics or a related field
• 2–3 years of experience in business analysis, profitability analysis, performance analysis or a similar function, preferably in the FMCG sector
• Strong analytical and problem‑solving skills, with a solid understanding of profitability metrics such as gross margin, trade spend and P&L drivers
• Advanced proficiency in Excel, including financial modelling, pivot tables and lookups, with experience in Power BI visualization
• Experience working with SAP systems, including data extraction and customer and material master data
• Meticulous and detail‑oriented, with a strong sense of ownership over data accuracy
• Proven ability to multi‑task and manage competing priorities in a fast‑paced, data‑driven, cross‑functional environment