| Job Description (Posting). | Key Responsibilities- Data Collection and Preparation:
- Gathering financial and operational data from various sources (e.g., ERP systems, CRM, data warehouses, spreadsheets).
- Cleaning, validating, and transforming data to ensure accuracy and consistency for analysis.
- Developing and maintaining robust data models to support FP&A activities.
- Financial Analysis and Reporting:
- Conducting in-depth financial analysis, including variance analysis, trend analysis, and forecasting.
- Developing and maintaining financial reports, dashboards, and visualizations to communicate key performance indicators (KPIs) and insights to stakeholders.
- Supporting the annual budgeting and forecasting processes through data-driven insights.
- Business Partnering and Collaboration:
- Collaborating with finance, operations, and other departments to understand business needs and translate them into data requirements.
- Presenting complex data findings in a clear, concise, and understandable manner to non-technical audiences.
- Providing analytical support for strategic initiatives, investment evaluations, and cost optimization efforts.
- System and Process Improvement:
- Identifying opportunities to automate data collection, analysis, and reporting processes.
- Working with IT and other teams to improve data infrastructure and analytical tools.
- Ensuring data governance and best practices are followed for data integrity and security.
- Ad-Hoc Analysis and Special Projects:
- Performing ad-hoc analyses to address specific business questions or challenges.
- Participating in special projects that require data expertise, such as M&A due diligence or new product launches.
Required Skills and Qualifications- Educational Background:
- Bachelor's degree in Finance, Accounting, Economics, Data Science, Statistics, or a related quantitative field. Master's degree preferred.
- Technical Skills:
- Proficiency in data manipulation and analysis tools (e.g., SQL, Python, R).
- Strong expertise in spreadsheet software (e.g., Microsoft Excel) for financial modeling and analysis.
- Experience with Business Intelligence (BI) and data visualization tools (e.g., Tableau, Power BI, Qlik Sense).
- Familiarity with financial planning systems (e.g., Anaplan, Hyperion, Adaptive Insights).
- Domain Knowledge:
- Proven experience working as a Data Analyst within an FP&A function.
- Solid understanding of financial statements, accounting principles, and corporate finance concepts.
- Knowledge of budgeting, forecasting, and financial reporting processes.
- Soft Skills:
- Excellent analytical and problem-solving skills with a strong attention to detail.
- Ability to translate data into actionable business insights.
- Strong communication, presentation, and interpersonal skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong organizational and time management skills to handle multiple projects simultaneously.
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