We hire the world's brightest minds, offering them an environment in which they can relentlessly identify and drive solutions to improve our Customer's experience on Amazon.
com. We do this every day by solving complex business and technical problems with ingenuity and simplicity. We're making history and the good news is that we've only just begun.
As a Senior Business Intelligence Engineer, you will lead a program to generate business and user experience insights based off of rich quantitative data.
You will work closely with the user experience (UX), product management, engineering, and data analytic platform teams to ensure the right data are gathered in the right way to generate actionable insights into how our customers (i.
e. candidates, employees, managers, and HR team members) interact with People Tech and HR systems.
The successful candidate in this role knows and loves working with business intelligence products, is comfortable accessing and working with data from multiple sources, and can partner with internal stakeholders to help drive the business.
Successful candidates have significant experience analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner.
We are looking for someone who not only finds patterns in the data, but more importantly, understands how to turn those discoveries into value for our customers every day.
Ability to partner with development, product management, and user experience teams to understand and grow our data analytics platform.
Ability to create long-view research road maps that impact product life cycles using a variety of appropriate techniques.
Ability to create systems and mechanisms to generate ongoing, regular insights to inform product development.
Ability to develop metrics that appropriately reflect the user experience, quality of a feature, product or system.
Identify the best method, or mix of methods, based on research questions, timeline and resourcing.
Work cross-functionally with design, product management, engineering, and marketing to communicate results and recommendations, and advocate on behalf of our customers.
Report on existing key business metrics, ensuring clear understanding of progress to all goals.
Use experimental design and statistics to assist in the design and measurement of various tests.
Manage large scale requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members
Work cross functionally with the product team to recommend ways of automating existing manual processes.
5+ years hands on analytics work experience with proven quantitative orientation.
Bachelor's degree in math, finance, engineering, statistics, or related discipline is required.
Proven analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases.
Excellent working knowledge of large data manipulation and data mining using complex SQL.
Strong skills in Excel as well as other data visualization tools like Tableau, QlikView, Power BI etc.
Experience in designing and delivering cross functional custom reporting solutions.
Strong verbal / written communication & data presentation skills, including an ability to effectively develop and communicate clear, thoughtful, and comprehensive analyses.
Demonstrated ability to manage and prioritize workload and roadmaps.
Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data.
Graduate degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline.
Familiarity with Human Resources / People data (e.g. Payroll, Job Records, and Time data).
Ability to engage with and influence senior leadership across a variety of functions and business lines.
Experience in partnering with business owners to understand requirements and develop supporting analysis to solve business problems.
Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Knowledge and direct experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.).
Knowledge of scripting for automation (e.g. Python, Perl, Ruby).