Sr. Business Intelligence Engineer - Amazon Fresh

Job description

DESCRIPTION

The AmazonFresh international team is looking for a creative, analytically-minded Sr. Business Intelligence Engineer (BIE) to help solve some of our most complex business problems and help us better understand customer behaviour and satisfaction. In this highly visible role, you will provide reporting, analyse data, make sense of the results, and be able to explain what they mean to key stakeholders ranging from VPs to developers, from marketers to product managers.

The Sr. BIE plays a leading role in the architecture, design, implementation and deployment of extremely large scale, critical, and complex data structures for business intelligence analysis taking into account long-term impact and performance considerations.
You should have deep expertise in the design, creation, management, and business use of extremely large datasets as well as excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions.

In this role you will architect highly efficient data and reporting structures, make trade off decisions between scalability, performance and user functionality needs using expert knowledge in data modelling, SQL, statistical analysis, and other emerging technologies.
You should be able to independently gather business and functional requirements and translate these into robust, scalable and operable solutions.

As a business consultant, you will be responsible for developing programs, experiments, and research in order to drive organization-wide and customer centric solutions by working from the customer backwards. You will use business and computational techniques to support strategic and tactical decision-making, teaming with a broad set of key stakeholders from finance, retail, marketing, operations, and technical teams to address key customer pain points.

The ideal candidate will have significant experience teaming with a myriad of stakeholder teams and developing solutions that drive organization-wide change. He/She has outstanding business acumen, a restlessness to answer “why?” questions, excellent analytical abilities, strong technical skills, superior written and verbal communication skills, and the ability to influence cross-functional teams. He/she will be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and will enjoy working in a fast-paced dynamic environment.

The roles involves working on a range of research areas including (but not limited to):
· Customer and delivery experience.
· Retail metrics including availability, waste, profitability, vendor performance, and operational efficiency.
· Customer behaviour and basket analysis.
· Selection management and performance analysis.
· Developing analyses to support strategic decision making.
· Leveraging new data sources for the benefit of the wider Amazon Fresh business.
· Researching and implementing new technologies in Amazon Fresh.
• Key responsibilities:
· Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape key business decisions.
· Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy learning's and developments.
· Collaborate with finance and product management as a leader of ongoing reporting including weekly and monthly business reviews.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
· Relevant work experience in analytics, data engineering, business intelligence, market research or related field, solid professional experience in consumer-facing industry preferred.
· Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.
· Experience using SQL, ETL, and databases in a business environment with large-scale and complex datasets.
· Proven track record of successful communication of analytical outcomes through written communication.
· Proven track record of an ability to effectively communicate with both business and technical teams.