Finance Analyst - EU Lockers & Pick-up points

DESCRIPTION

Amazon Locker and Pick-up Points seeks an experienced Finance Analyst to join its fast growing business in EU. Based in London head Office, the Finance Analyst will closely work with finance and business groups and support the business unit in achieving its long-term growth and profitability objectives. The ideal candidate will combine financial and business acumen with strong analytical skills.

Responsibilities include:
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• Providing analytical support to the Locker & Pick-up Points business in understanding the optimal network scale and drivers of customer adoption, as well as working on profitability initiatives to increase savings to Amazon
• Building and managing the right reporting to support the business decision making at EU and WW level as well as simplifying, improving and scaling existing processes and tools across countries
• Managing the business planning process for the business unit and the alignment with different stakeholders across finance and business teams
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• Performing month end closing, reporting and highlighting required business interventions
• Supporting financial evaluation of key projects and expansions, providing both commercial and financial assessment of plans

BASIC QUALIFICATIONS
• Proven finance and business partnering experience
• Strong academic background in Management/Finance/Economics
• Robust analytical & modelling skills required
• Advanced user of Excel and SQL
• Strong communication skills
• Has a superior attention to detail
• Must be comfortable working in cross-functional teams
• Demonstrates strong ownership

PREFERRED QUALIFICATIONS
• Finance experience from retail or technology companies within an international environment
• Ability to simplify and improve inefficient or complex processes
• Ability to operate at all levels, combining attention to details with understanding of broader business dynamics
• Can successfully manage multiple competing priorities simultaneously and work to tight deadlines
• Strong business judgment, paired with a data-driven approach
• Knowledge of VBA is desirable