Business Intelligence Engineer III

Business Intelligence Engineer

We are seeking an experienced Business Intelligence Engineer to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of the business. The candidate should have expertise in designing and implementing scalable data warehouse infrastructure, build production pipelines and dynamic visualization platform and self serve tools for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset we work with. Moreover, the candidate should have ability in using advanced techniques, for example scripting language like Python/R and building statistical models, to drive complex insights and analyses. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to be comfortable working within a cross functional environment, supporting multiple stakeholders and initiatives. You will have a true hands-on approach, strong analytical skills, including the ability to gain true insights from data, and be an effective communicator.

Key job responsibilities:

• Work with leaders in the organization to identify opportunities and build analytical solutions that provide them with decision making capabilities and insights.
• Collaborate with Product and Tech teams to design analytics frameworks that will support large-scale data-analysis and correction of defects.
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of analytics projects/products.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools.
• Design and influence operational best practices for reporting and predictive analytics to enable the team to scale.
• Root cause analysis and uncovering core issues using data, then assisting to create new measures for the wider Amazon team.
• Manage and execute entire projects end to end including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.