Senior Financial Analyst

Key Accountabilities:

The Senior Financial Analyst (Inventory Control) manages periodic reporting and forecasting inventory components. This role requires a tech-savvy analyst who demonstrates a growth mindset, is eager to learn and understand the intricacies of the business and applies their skills to enhance and streamline existing processes. The analyst collaborates with stakeholders in Merchandising and Logistics & Distribution to provide insightful reporting and analysis, influencing TJX Australia's short-term and long-term strategies.

About the Role:

Inventory/Stock Ledger Management:

• Own forecasting and budgeting processes, including modelling.
• Ensure full reconciliation of the stock ledger across systems.
• Oversee stock adjustment processes, including damages and stocktake.
• Support the Financial Control Manager in controlling and executing the stocktake process.

Business Partnering and Communication:

• Build and leverage effective relationships with business partners.
• Communicate and report effectively at a senior executive level.
• Support ad hoc financial analyses that drive strategic business decisions.
• Establish collaborative relationships across the business both regionally and globally. fostering an environment of continuous learning and improvement.

Reporting and Analysis:

• Prepare weekly and monthly schedules, ensuring compliance with TJXA, TJX Corporate, and PwC requirements.
• Produce ad-hoc inventory reports as needed.
• Provide actionable insights and analysis on all inventory reports, consistently seeking new ways to deliver meaningful data to stakeholders.

Process and Systems Improvement:

• Identify opportunities for short-term and long-term improvements in inventory control processes and systems.
• Challenge current thinking and recommend ways to optimize business opportunities and processes.

About you:

• Qualification in Data Science, Finance, Accounting, with similar inventory business planning/partnering experience.
• Demonstrated growth mindset, with curiosity and a passion for continuous improvement and innovation (e.g., automation, RPA, AI).
• Strong business modelling skills and the ability to use data science to solve business problems.
• Essential experience with Microsoft Power Apps, including Power BI. BluePrism, Python, SQL, Oracle, QlikView, APTOS, EE POS, or Oracle Cloud is advantageous
• Comfortable with ambiguity and able to develop sound assumptions.