FP&A Senior Analyst (Food, Ads and Merchants)
- Jakarta
- Permanent
- Full-time
- Business Partnering - be a thought partner to our product leadership, helping to translate business metrics/requirements into clear financial impact/results and vice-versa. Apply business judgment and financial insights to assist Business Units (BU) with decision-making related to new initiatives, products, and business opportunities.
- Providing finance leadership with insights into product performance and trends based on financial/business data and on-the-ground interactions with key product stakeholders.
- Weekly and monthly performance reporting: report and analyze trends and variances between actuals, forecasts, and plans. Work with stakeholders to design financial dashboards for relevant KPIs.
- Data Analytics - work with data sets (large or small) to extract insights and make recommendations to stakeholders
- Provide support to your assigned Business Unit for monthly, quarterly, annual, and long-range planning processes (for eg: rolling forecast and annual budgets)
- Responsible for regular projections/forecasting of Business Unit performance, providing CFO and Business Unit leadership with an independent view on Business Unit performance.
- Adhoc analysis: run analysis to help uncover growth opportunities, cost efficiencies, or ways to further mitigate risks.
- Degree-level qualification in Accounting/ Business/ Quantitative fields of study.
- 2 - 4 years of experience in Finance or Accounting, preferably in FP&A business partnering role for 1-2 years
- Able to communicate effectively with multiple stakeholders across various levels of seniority, both written and verbal.
- Able to work independently with strong attention to detail.
- Able to translate business requirements into a financial view and vice versa
- Think critically and in a structured manner.
- Proficient in financial modeling, to be able to meet a business requirement and build a financial model around it, and articulate the business model to stakeholders.
- Proficiency in SQL and basic knowledge of data modeling is a big plus, but not required.