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2 months ago
Department Business Intelligence and Data Analytics- LevelExperienced (Individual Contributor)- LocationThailand - BangkokThe Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.
- ** Financial modeling**: develop, maintain, and implement changes to financial models to support P&L forecasting, budgeting, and others as required to inform short and longer-term key strategic initiatives
- ** Reporting & analysis**: perform variance analysis on actual performance against forecasts and budgets, identify trends to provide actionable insights to support strategic decision-making
- ** Cross-functional collaboration**: align with OpEx and other key stakeholders to monitor initiatives and special projects relating to cost levers within SPX Express across teams and be informed on their potential impact on cost
- ** Communication**: prepare reports and present to senior management on P&L budgeting and forecasting, cost reduction initiatives, and other ad hoc projects relating to FP&A function
- ** Competitor analysis**: perform competitor analysis and benchmarking to model and track competitor cost structures to extract key insights to inform strategy
- ** Continuous improvement**: identify opportunities for process improvements within the FP&A function and implement best practices
**Requirements**:
- 1 - 3 years of experience in financial planning, forecasting, budgeting, or related roles in highly dynamic environments relating to P&L statement and financial monitoring
- Quantitative background with analytical and problem solving skills and flexible thinking to address what-if scenarios
- Proficient in complex financial modeling with Excel / Google Sheets; experience in data analysis with SQL, Google Data Studio, and visualization programming languages such as Python and R are a plus
- Strong communication skills with fluency in written and spoken English and ability to present and independently discuss topics with management
- Ability to work collaboratively in a fast-paced environment and manage multiple priorities simultaneously
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