Sr. Business Intelligence Engineer, AWS Support - Customer Experience at Amazon

Key job responsibilities

• Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Statistical and Visualization tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers
• Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members
• Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation
• Communicate analysis results and techniques, both verbally and in writing, clearly and confidently to peers and business partners

A day in the life

• Prep as a key partner for the next ideation session taking place with key customers
• Work on draft design of new interface for experimental testing
• Look at the feature request queue, prioritise the requests based on largest Customer Experience (CX) impact and work on top 3 additions to the CX dashboard
• Have a 1:1 with the central BI team to continue collaboration on the overall CX scorecard
• Take 30min to coach an intern/upskill by starting a new certification course/talk to your amazon mentor

BASIC QUALIFICATIONS

• Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience
• 3+ years of experience as an engineer in the data/BI space
• 3+ years of demonstrated experience in data modeling, warehousing, and transformation of large scale sources using Redshift, Oracle, or other technologies
• Expertise in writing high quality SQL codes

PREFERRED QUALIFICATIONS

• Master’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Proven ability to solve complex quantitative business challenges and Experience working directly with business stakeholders to translate between data and business needs
• Proficiency with at least one modern scripting language (e.g. Python)
• 3 years+ data visualization and dashboarding experience
• Basic proficiency with statistical modeling, research methods, and machine learning applications