Key Responsibilities

• Data Collection and Preparation:
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  • 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