Customer Insights Analyst

Job description

DESCRIPTION

The AmazonFresh / Prime Now / Restaurants Customer Insights & Analytics team is looking for a passionate and solution-oriented Business Analyst to build analytical solutions that deepen our collective understanding of customers, influence innovation, and deliver actionable insights. Amazon.com has a culture of data-driven decision-making and demands insights and recommendations that are timely, accurate, and actionable.

The ideal candidate has outstanding business acumen, a restlessness to answer “why?” questions, excellent analytical abilities, strong technical skills, superior written and verbal communication skills, and the ability to influence and lead cross-functional teams. They will be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and will enjoy working in a fast-paced dynamic environment. They will work closely with Product, Business, and Software Development Teams.

The ideal candidate will:
· Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the device customer engagement, sales and marketing roadmap
· Develop a thorough understanding of customer behavior, competitive product trends, and business drivers to inform decision making
· Analyze key insight trends and build models that predict customer behavior, using statistical rigor to simplify and provide thought leadership to global product and software groups.
· Collaborate with Software, Business, and Product Management as a leader of ongoing analytical support

Desired profile

BASIC QUALIFICATIONS

BS in Computer Science, Economics, Statistics or related field.
· 2+ years of professional experience in CRM, statistical analysis, predictive modeling, business analysis or comparable consumer analytics position
· Top notch written and verbal communication skills to convey key insights from complex analysis in summarized business terms
· Proficiency in MS Excel and a technical language (SQL, SAS or R)
· Experience in designing and implementing custom targeting optimization systems and working with technical teams
· Demonstrated ability to work effectively across various internal organizations