Business Intelligence Engineer, Team Analytics
5 months ago
As a BIE, you will develop strategic report, design UI and drive project to support AB CS team as well as entire WW Operations team's decision making. This role is inherently cross-functional -- you will work closely finance team, engineering, leadership across WW AB CS, CS and AB.
A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You should be skilled in database design, be comfortable dealing with large and complex data sets, and have experience building self-service dashboards and using visualization tools especially Tableau. You should have strong analytical and communication skills.
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.
Members of this team will be challenged to innovate 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 while working hard, having fun, and making history, this may be the opportunity for you. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business.
Key job responsibilities
Responsibilities
Scope, Design, and build database structure and schema, which enables all the ABCS team members to self-serve.
Create data pipelines using 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, knowing how, when, and which to use.
Pull data on an ad-hoc basis using SQL queries.
Design, build and maintain automated reporting, dashboards (especially Quicksight), and analyses to enable our team to self-service data needs, focusing on answering hard and ambiguous problems.
Conduct deep dives to identify root causes of pain points and opportunities for improvement
Become a subject matter expert in AB CS data, and support all AB CS team members in dive deeps.
Work closely with CSBI teams to ensure ABCS uses Globally alleged standard metrics and definition.
Collaborate with finance, business to gather data and metrics requirements.
A day in the life
You will work closely with senior leaders across cross-functional stakeholder teams within Amazon to drive collaboration and influence them to prioritize projects, meet objects and adhere to business plans towards shared objectives.
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 skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply
Benefits Summary:
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
BASIC QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership
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