Manager III, Business Intelligence, Amazon Now

Job description

Are you ready to embark on a thrilling journey in the realm of grocery e-commerce? We're on the lookout for a team member to work on our latest initiative, operating at the forefront of innovation in a dynamic, fast-paced environment. This role demands the agility to navigate analytics landscape across multiple functions seamlessly, the resilience to thrive in a fast paced environment, excitement to handle challenges head-on and excellence in analytical abilities.

As a Business Intelligence Engineer, you'll be deciphering our customers' ever-evolving needs and shaping solutions that elevate their experience with Amazon.

We're seeking someone who thrives on ambiguity, harnessing their first-principle problem-solving skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, coupled with a penchant for out-of-the-box thinking, will be instrumental in navigating the complex landscape of our initiative.

A successful candidate will possess

Extraordinary Business Intelligence Engineer skills along with exceptional managerial capabilities.

Impeccable attention to detail, adept at juggling multiple projects and priorities with finesse.

A knack for thriving in a fast-paced, innovation-driven environment, where adaptability is key.

Strong analytical and quantitative skills, leveraging data and metrics to inform strategic decisions.

Clear and compelling communication skills, capable of articulating data insights to diverse stakeholders.

If you're ready to challenge the status quo, lead with innovation, and leave an indelible mark on the future of e-commerce, then we want to hear from you!

Key job responsibilities

Deliver on all analytics requirements across business areas required for launch of the new initiative.

Manage a team of 4-5 BIEs

Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

Ensure data accuracy by validating data for new and existing tools.

Apply data mining and quantitative analysis to understand ways to improve our content selection for customers

Perform both ad-hoc and strategic data analyses

Build various data visualizations to tell the story and let the data speak for itself

Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Build automation to reduce dependencies on manual data pulls etc.