You will be part of our Finance team, working in a collaborative and data-driven environment. You will engage with financial controllers, technology managers, and key business stakeholders to drive data-backed decision-making, automation, and process improvements.
Your Impact:
- Automation & Standardization: Identify opportunities for end-to-end automation in finance reporting and analytics, driving efficiency and consistency.
- Data Analysis & Reporting: Compile, analyze, and interpret financial and performance data to produce accurate reports for Collaboration and Security Business Entities.
- Analytical Proficiency: Extract meaningful insights from data to support strategic decision-making.
- Process Improvement: Optimize reporting processes through automation to enhance efficiency and accuracy.
- Collaboration: Work closely with finance, technology, and business teams to provide valuable insights.
- Performance Metrics: Track key performance indicators (KPIs) to identify improvement areas.
- Compliance & Controls: Ensure reporting aligns with financial standards and internal controls.
- Data Visualization: Use tools like Excel, Power BI, and Tableau to create dashboards and reports.
- Audit Support: Assist with financial audits by preparing documentation and providing clarifications.
Minimum Qualifications:
- Education: Bachelor’s degree in Finance, Accounting, Business, or a related field.
- Experience: 8+ years in finance reporting, analytics, and automation (flexible for the right candidate).
- Automation Expertise: At least 2 years of hands-on experience with UI Path, Automation Anywhere, or similar RPA tools.
- Technical Skills: Strong proficiency in Excel, Power BI, Tableau, and financial data analysis.
- Problem-Solving & Adaptability: Ability to identify automation opportunities and drive efficiency.
- Communication & Collaboration: Strong ability to present data insights effectively and work with cross-functional teams.
Preferred Qualifications:
- Finance & Accounting (F&A) Experience: Background in financial processes and reporting.
- Data Science & Statistical Analysis: Additional skills in predictive analytics and statistical modeling are a plus.
- Programming Knowledge: Basic understanding of SQL or similar languages.
- Experience with Automation Tools: Exposure to AI-driven automation and workflow optimization.