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Job description

• Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
• Previous experience in one of the following areas: Business intelligence or business analytics
• Experience defining requirements and using data and metrics to draw business insights
• Proven track record of crystallizing out impactful and actionable insight from big data
• Hands-on experience in writing complex, highly-optimized SQL queries across large datasets
• Experience in data modeling, ETL development, and Data warehousing Experience with Oracle, Redshift etc.
• Excellent written and verbal communications across technical and non-technical stakeholders and experience presenting to senior executives

We are currently seeking a Business Analyst to support the marketing team for Amazon Fresh. This position can be located in London, Munich, Paris, Milan or Madrid.
Are you passionate about leveraging data to deliver actionable insight that impacts Amazon’s business decision? Are you looking for a role that leverages both your analytical and business abilities? Amazon is looking for a bright, customer obsessed, and motivated individual to join the Amazon Fresh team.
This role requires an individual with excellent statistical and analytical abilities, strong attention to detail, deep knowledge of business intelligence solutions (like SQL, Excel, Quicksight, Redshift) as well as outstanding business acumen and ability to communicate clearly and collaborate with both business owners and other analytics teams. Flexibility, influencing others, and the ability to prioritize in a changing business environment will also be key. Your success in the role will have a large impact on improving the customer experience and growing the business. We are an entrepreneurial, customer-obsessed and motivated team, working in a fast-paced, ambiguous, and highly collaborative environment. Our business is more startup than big company, with a high pace and degree of ambiguity. You should be comfortable with change, embrace the opportunity to wear many hats, and relish the chance to solve hard problems in short order. If what you have read inspires you to learn more, then we’d love to talk.

Key job responsibilities

• Perform deep-dive and data analysis. Gathering and interpreting data from various sources to inform decision making
• Build Self-Service BI: Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull most granular data for defect verification, customer communication, deep-dive etc.
• Assisting in the development and execution of strategic initiatives
• Working closely with our data engineering & BI teams to ensure timely delivery of reliable data
• Mentoring and guiding junior team members in data analysis and process improvement methodologies

We are open to hiring candidates to work out of one of the following locations:

London, GBR

• Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel: +448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel: +3531800851489).