- Through the analysis of FP&A and business process, define requirements for process and system improvements that will deliver centralized reporting solutions
- Drive commercial, business unit, and divisional standardization of reporting processes, tools, and technologies
- Identify improvement opportunities in PowerBI and opportunities to consolidate other FP&A reporting environments into common framework(s) and facilitate key business insights.
- Serve as primary global liaison to the relevant Data Science team and support the technical design, maintenance, on-going development and optimization of the centralized reporting environment
- Conduct business due diligence on new proposed financial data science initiatives to ensure viability of proceeding; identify benefits and risks;
propose recommendations and appropriate risk mitigation solutions for consideration
- Understand the financial processes, related technical architecture and the flow of information through it
- Organize and perform all levels of testing and provide rollout support and post-project transition for invoicing solutions.
- Lead Change Control and release approval of data science solutions
Requirements :
- Bachelor’s degree in Finance or Accounting, with experience in Data Sciences and financial reporting systems
- 5+ years of broad-based business experience within a major, multi-unit company; multi-national experience preferred
- Excellent leadership and interpersonal relationship skills that promote collaboration and visibility across the organization
- Collaborative style with a demonstrable ability to work within a matrixed environment to influence outcomes and motivate change
- Flexible with an ability to optimally work across time zones
- Understanding of finance, accounting, and impact to reporting systems
- Proficient at understanding and proactively communicating the implications of business decisions and dynamics
- Minimum 2-3 years of experience in finance-focused BI reporting
- Experience providing report outs for large data sets and a passion for efficient, effective data solutions
- Organized, meticulous, self-starter with ability to maintain accuracy of information and meet reporting requirements
- Excellent time management skills and ability to prioritize work based on business needs
- Coding skills such as SQL, Python or VBA considered advantageous
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