Sr. Business Intelligence Engineer (BIE), ComPAS BI
Amazon
DESCRIPTION
AI is going to transform the Business Intelligence function at Amazon, and the Companion Products and Services Organization's Business Insights team (ComPAS BI) in Devices is looking for a Senior Business Intelligence Engineer to lead our team through the transformation.
ComPAS BI supports the Amazon Device Accessories and Companion Products Business (Amazon Smart Plug, Fire TV Soundbar, Star Wars Accessories, and more) and the Pre-Owned Devices and Device Trade-In program. These businesses are some of the fastest-growing businesses in Amazon Devices, in no small part due to ComPAS leadership's continued investment in technology. The ComPAS BI team is looking for a visionary Business Intelligence Engineer who will help set the course for the future of data and analytics in ComPAS. ComPAS BI is a newer team with a near-infinite runway of interesting problems to solve, mechanisms to refine, and stakeholders to work with. Our stakeholders span across functions (Sales and Marketing, Product Management, Finance, Operations, Planning, and Software Engineering, to name a few) and touch every product line in the Devices business (including Echo, Fire TV, Kindle, Fire Tablet, Ring, Blink, Eero, Health and Wellness, and Project Kuiper). This role has wide scope from the start and huge opportunity to grow both technical and leadership skills.
Key job responsibilities
- Own the end-to-end project management and execution of our some of our most important reporting and analytics projects, many of which have direct impact on our end customers and drive real growth in the ComPAS business
- Own, experiment with, and iterate on key mechanisms (roadmap planning, project management, intake and workflow, etc.) that enable us to deliver great results for our stakeholders through thoughtful organization and communication
- Be the example for ComPAS BI team members of what delivering at the Sr. BIE level looks like, and provide mentorship and coaching to grow your team members to deliver results at the same level
- Create a vision for what our BIE function should look like when operating as a best-in-class organization by learning and applying the latest techniques and technologies, defining and refining BIE best practices, and sharing your knowledge with the team
A day in the life
Our team members aim to spend their time in this way:
- 50% Roadmap project work, with each team member working on one large project at a time.
- 10% On call, with our on-call team member handling any urgent requests or data issues that our stakeholders bring to us.
- 10% Ad-hoc requests, with ad-hoc being any non-urgent request that takes less than two days to complete.
- 10% Keep-the-lights-on (KTLO) tasks including supporting regular business reviews and recurring reporting maintenance.
- 10% Meetings, events, and mechanisms
- 10% Exploration, learning, and new skills development
- For our Sr. BIE, this allocation will be slightly different. This new team member will spend less time on Ad-hoc and KTLO and more time on leadership work (learning, mentoring, vision setting, and influencing).
About the team
The ComPAS BI team was formed in September 2023 by bringing together the BIEs from the Pre-Owned Devices and Accessories businesses under a single-threaded leader, then adding two data scientists. When the team formed, we came together for a three-day intensive where we defined our mission and vision and examined all our existing processes and workflows for what worked well and what didn't. Together as a team, we created our plan for becoming one ComPAS-wide BI organization with one set of mechanisms and processes. This is what our team is laser-focused on implementing and refining today. Teamwork and respect are the foundation of our organization's culture, and we care deeply about everyone bringing their unique perspective to influence our team's direction. Creating a work environment where our team members are included, inspired, challenged, and excited about their career trajectory is our leadership's top priority.
BASIC QUALIFICATIONS
- 8+ years of professional or military experience
- 5+ 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.