DESCRIPTION

We are looking for high caliber and experienced BIE-Lead (IC) to join the Smart Commerce team and own the entire BIE charter for various Smart Commerce products. We are scaling the entire suite of SaaS services in this space that can serve thousands for sellers/brands for decades to come. In this role, you’ll be responsible for building the BIE roadmap for Smart Commerce suite of products. You will work directly with dedicated product and engineering teams to drive data engineering, analytics and influence fundamental data decisions. You will apply both data and business acumen in a fast-paced, ambiguous and innovative environment.
Our ideal candidate will be an experienced and hands-on leader who can thrive in an ambiguous and fast paced business landscape. You are passionate about working with complex datasets and are someone who loves to dive deep, analyze and turn data into insights. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights. In this role, you will have ownership of end-to-end analytics development to complex questions and you’ll play an integral role in strategic decision making. You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities, and to drive data-driven decision into process & tool improvement together with business team.
Above all, you should be passionate about how insights can be used to improve both the Customer and Seller experiences in a new business like Smart Commerce.
Key job responsibilities
• Hire, manage, coach and lead a high performing team of Data Engineers, BIEs and Business Analysts
• Build datasets, metrics, and KPIs supporting business goals for the SmartCommerce organization.
• Design, implement and support end-to-end analytical solutions that are highly available, reliable, secure, and scale economically
• Collaborate cross-functionally to recognize and help adopt best practices in reporting and analysis, data integrity, test design, analysis, validation, and documentation
• Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy findings that impact the business
• Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact
• Work closely with business and operations leadership, including executive leadership at Amazon, to define the technical product and provide updates on the program.
• Own reporting for business reviews with leadership
• Manage all aspects of BI projects such as project planning, requirements definition, risk management, communication, and implementation planning.
• Work with Product, Research Sciences and software development teams to enable the appropriate capture and storage of key data points.

Key job responsibilities
Key job responsibilities
• Hire, manage, coach and lead a high performing team of Data Engineers, BIEs and Business Analysts
• Build datasets, metrics, and KPIs supporting business goals for the SmartCommerce organization.
• Design, implement and support end-to-end analytical solutions that are highly available, reliable, secure, and scale economically
• Collaborate cross-functionally to recognize and help adopt best practices in reporting and analysis, data integrity, test design, analysis, validation, and documentation
• Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy findings that impact the business
• Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact
• Work closely with business and operations leadership, including executive leadership at Amazon, to define the technical product and provide updates on the program.
• Own reporting for business reviews with leadership
• Manage all aspects of BI projects such as project planning, requirements definition, risk management, communication, and implementation planning.
• Work with Product, Research Sciences and software development teams to enable the appropriate capture and storage of key data points.

BASIC QUALIFICATIONS

– 10+ years of SQL experience
– Experience programming to extract, transform and clean large (multi-TB) data sets
– Experience with theory and practice of design of experiments and statistical analysis of results
– Experience with AWS technologies
– Experience in scripting for automation (e.g. Python) and advanced SQL skills.
– Experience with theory and practice of information retrieval, data science, machine learning and data mining

PREFERRED QUALIFICATIONS

– Experience working directly with business stakeholders to translate between data and business needs
– Experience managing, analyzing and communicating results to senior leadership