Automation jobs in United Kingdom

DESCRIPTION

Amazon is seeking a Finance Manager for its WW Amazon Shipping (SWA) finance org, an area that is integral to the Amazon flywheel. This person will be a leader in the Finance organization supporting the business initiatives related to SWA EU. This is a very high impact and high visibility role supporting sustainable growth in the EU business. The person in this role will have advancement opportunities to support different businesses and to lead programs or products.

The ideal candidate will be primarily responsible for Financial Planning & Analysis activities for EU, driving financial modelling and reporting, controllership and identifying opportunities across pricing and operations cost as a result. This person will work closely with Business, Operations, Product and Tech teams, as well as ATS and AMZL Finance teams. This person will partner with multiple stakeholders to provide timely analysis, insightful guidance, and financial leadership to this high-growth organization. This role requires extensive cross-functional partnership with various retail, transportation, and finance teams to identify best practices across the network and lead cost improvement efforts for operations. It also requires a strong self-starter mentality, exceptional stakeholder management capabilities and will stretch your leadership skills while also requiring you to digest the complexity of the Amazon transportation network to deliver process improvement.

Want to help build the finance team at the world's leading e-commerce company? Do you view problems as treasures, and are you willing to dive deep to develop those solutions and deliver results? Will you seek to challenge the status quo, and accept that your ideas and mechanisms may be tested daily?

1. Drive the core financial processes for the organization including Annual Operating Plans, 3 year Strategic Plan, and Monthly/Quarterly Business Reviews.
2. Educate business partners on financial and non-financial trade-offs, and make thoughtful judgement calls in ambiguous environments where data may be scarce or difficult to procure.
3. Partner with senior business leaders and develop operational metrics and goal setting to help the team improve performance.
4. Use active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjust style for various audiences to articulate complex finance issues clearly. Your communications drive critical business decisions.
5. Analyse ROI of different programs/initiatives and generate actionable insights from large amounts of data.
6. Have backbone, disagree and commit to foster constructive dialogues, harmonize conflicting views, resolve issues, and drive decisions.
7. Exhibit social responsibility. Actively recruit bar-raising talent, continuously develop your team.

BASIC QUALIFICATIONS

• Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance).
• Experience in tax, finance or a related analytical field.
• Experience in multiple finance and accounting roles.
• Experience in accounts receivable or account payable.
• Experience applying key financial performance indicators (KPIs) to analyses.
• Experience in building financial and operational reports/data sets that inform business decision-making.
• Experience in creating process improvements with automation and analysis.
• Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results.

PREFERRED QUALIFICATIONS

• MBA, or CPA.
• Knowledge of SQL/ETL.
• Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan.
• Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits).
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards).
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results.

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