What are the responsibilities and job description for the Business Intelligence Engineer, Amazon Business Customer Service position at Amazon?
DESCRIPTION
Amazon Business Customer Support (ABCS) is looking for a Business Intelligence Engineer (BIE) to help build next generation metrics and drive business analytics that have a measurable impact. This role is inherently cross-functional. You will work closely with finance and engineering teams, as well as with leadership across ABCS, Amazon Customer Service, and Amazon Business (AB).
As a BIE, you will develop strategic reports, design User Interface (UI), and drive projects that support the ABCS team and influence the decision making of the Worldwide Operations team. You will continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate and accelerate analytics. You will work with a team of analytics professionals who are passionate about using machine learning to build automated systems and solve problems that matter to our customers. Your work will directly impact our customers and operations.
A successful candidate will have a strong understanding of different businesses and customer profiles, as well as the underlying analytics. Candidates for this role should have the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business.
Members of this team are challenged to innovate and use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to complex problems, this may be the opportunity for you!
Key job responsibilities
- Scope, design, and build database structure and schema to enable ABCS team members to self-serve.
- Create data pipelines using extract, transform, and load (ETL) connections/SQL queries to bring new attributes into the ABCS master database.
- Retrieve and analyze data using a broad set of Amazon’s data technologies and resources.
- Pull data on an ad-hoc basis using SQL queries.
- Design, build, and maintain automated reporting, dashboards, and analyses to enable our team to focus on solving ambiguous problems.
- Conduct deep dives to identify root causes of pain points and opportunities for improvement.
- Work closely with Certified Specialist Business Intelligence (CSBI) teams to ensure ABCS uses globally standard metrics and definitions.
- Collaborate with finance and business partners to gather data and metrics requirements.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
ABCS Analytics supports all the teams within ABCS, partner teams within AB and CS, and other support teams for any analytical and data requirements. We are responsible for maintaining the ABCS databases, data pipelines from AB data sources to the ABCS datasets.
We create and maintain ABCS Reporting Suite and ensure that all the ABCS team members are enabled with the right data and can self-serve to drive data driven decisions.
BASIC QUALIFICATIONS
- 5 years of SQL experience
- 7 years of professional or military 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.
