Sr Data Engineer

Job description

DESCRIPTION

As an Amazon Manager Data Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have 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. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.

Key Responsibilities:
· Design automated solutions for recurrent reporting (daily/weekly/monthly).
· Lead a team of 3-4 Business Intelligence Engineers
· Design automated processes for in-depth analysis databases.
· Design automated data control processes.
· Collaborate with the software development team to build the designed solutions.
· Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.
· Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs.
· Provide in-depth analysis to management with the support of accounting, finance, transportation and supply chain teams.
· Participate in annual budgeting and forecasting efforts.
· Perform monthly variance analysis and identify risks & opportunities.

Desired profile

BASIC QUALIFICATIONS

· Relevant experience in business intelligence or business analyst role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
· Bachelor Degree in Engineering, Finance, Supply Chain, Logistics, Computer Science or other quantitative area.
· Prior experience accessing and using analytical tools (Excel, Databases, SQL).