Job Summary:
We are seeking a detail-oriented financial professional to join our team and drive critical financial operations and strategic analysis initiatives. This position plays a vital role in ensuring the accuracy and integrity of financial data while providing actionable insights that support informed business decisions. The successful candidate will be responsible for account reconciliation, variance analysis, budget preparation, and conducting comprehensive financial studies that directly impact organizational performance. This role requires a unique blend of traditional accounting expertise and modern data analytics capabilities, offering the opportunity to work at the intersection of finance and technology. The position demands strong analytical thinking, exceptional communication abilities, and proficiency in leveraging both financial management systems and advanced data analysis tools to deliver meaningful results to stakeholders across the organization.
Responsibilities:
• Analyze and reconcile accounts to ensure accuracy and compliance with accounting standards
• Prepare and annotate detailed variance reports identifying discrepancies and trends
• Collaborate with operational teams to develop supporting financial forecasts and budgets aligned with strategic plans
• Conduct research to evaluate the accounting implications of alternative business approaches
• Perform financial analysis projects including capital versus expense decisions, ROI calculations, resource allocation studies, and budget preparation
• Execute special statistical studies to support business decision-making
• Analyze performance returns for accuracy and communicate findings to investment professionals
• Collect and clean data from various sources while ensuring data quality and integrity
• Manipulate and transform data using SQL, Python, and R for analytical purposes
• Apply statistical techniques and machine learning algorithms to perform exploratory data analysis
• Support the development, validation, and deployment of machine learning and statistical models
• Develop end-to-end processes that improve financial operations and reporting efficiency
• Collaborate with stakeholders to understand business challenges and create data-driven solutions
• Translate complex technical concepts into actionable insights for diverse audiences
• Create impactful visualizations to effectively communicate findings to technical and non-technical stakeholders
• Understand project and team scope within the context of broader strategic initiatives
Skills:
• Thorough knowledge of accounting and finance principles
• Excellent verbal and written communication skills
• Ability to present financial analysis to management effectively
• Proficiency in Microsoft Excel, Word, and PowerPoint
• Working knowledge of financial management applications
• Experience with SAP, particularly Project Systems modules
• SAP S/4 conversion experience
• Strong data analysis capabilities using SQL, Python, and R
• Understanding of statistical techniques and machine learning algorithms
• Data visualization and presentation skills
• Ability to translate technical concepts for non-technical audiences
• Strong problem-solving and critical thinking abilities
• Attention to detail and commitment to data accuracy
Qualifications:
• Bachelor's degree in Accounting, Finance, Data Science, or related field
• CPA, CFA, or relevant professional certification preferred
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