Senior BI Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

The Amazon Web Services (AWS) Private Pricing team provides our Sellers & Partners with a deal management and analysis portfolio that enables and accelerates private pricing deals with our most important customers and partners. Our business is constantly evolving and we build software that drives that evolution. We are looking for a hands-on Business Intelligence Engineer with experience developing and delivering analytics portfolio as we build the next iteration of our system. Come join a team at the beginning of a product life cycle and help define the way AWS does business with its key customers.

A successful candidate will have a deep knowledge of business intelligence solutions and possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space.

Key job responsibilities

• Work closely with Product, Tech, and Operations leaders to define and analyze experiments, including any lessons learned and recommended changes to approach.
• Act as the BIE lead for the team and quickly learn how to solve problems through self-service approaches and establishing relationships with others BIEs across the org .
• Define, measure and present metrics / automated reports on multiple products to senior leadership. Design new and enhance metrics, and continuously automate as needed to focus on highest leverage work.
• Own and develop the mechanisms to prioritize a backlog of work across a variety of stakeholders. Escalate as needed to prioritize the most important work.
• Crisply communicate complex analysis, insights and recommendations to stakeholders and senior leaders verbally and in written artifacts.
• Establish an environment of self-service with stakeholders for simple or repeat requests through continuous development of knowledge bank, dashboards, or other mechanisms.
• Develop other BIEs as a mentor and by contributing to establish a learning environment across the org.

This position may be based in our Seattle, WA; Dallas, TX; Arlington, VA; Boston, MA; Denver, CO; Atlanta, GA; Jersey City, NJ and any location in the US with AWS offices.

A day in the life
As a Sr. BIE, you will have an enormous opportunity to impact the customer experience and business of cutting-edge products and services. You'll be a key member of a growing organization's strategy of how to measure and improve the things that matter most to our customers. You will work with product leaders to analyze feature launches and engagement trends to generate key insights for future improvements. You will work with engineering teams to make sure that we have the data that helps us measure what matters most. Most importantly, you will work across teams to drive alignment of key metrics and performance indicators and set goals that help our teams achieve our long-term vision

About the team
The Private Pricing team is a talented and diverse group of individuals. With teams located in multiple US cities, we work together to deliver high quality products. Like the rest of AWS, we are committed to furthering our culture of inclusion. We put a high value on work-life balance. We offer a flexible schedule so that you can have a more productive and well-balanced life - both in and outside of work.

About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentor ship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• Bachelor’s degree in Engineering, Math, Finance, Statistics or a related discipline
• 6+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
• 6+ years of experience in data mining and data-set preparation using SQL.
• 6+ years of experience with Tableau Desktop or other relevant data visualization software.
• Fluency and experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

PREFERRED QUALIFICATIONS

• Master’s degree or higher in Statistics, Data Science, or an equivalent quantitative field
• 8+ years of experience in a data engineer or BIE role with a technology company.
• Knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
• Be self-driven, details-oriented, and show ability to deliver on ambiguous projects with incomplete or dirty data.
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
• Advanced knowledge of SQL, shell scripting, Python/R, and MS excel.
• Strong understanding of BI technologies and their application including database warehousing and dashboarding
• Experience communicating with senior management as well as with colleagues from computer science, operations research, and business backgrounds.

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.