Sr. Business Intelligence Engineer, AWS Talent Acquisition Data Analytics (TADA)

The position is based in Vancouver Canada.
The Talent Acquisition Data Analytics (TADA) team is looking for a Sr. Business Intelligence Engineer to drive our analytical revolution in the Talent Acquisition (TA) space. You get the opportunity to work on a ground up rebuild of our analytical capabilities from data ingress to complex business transformations to end user reporting and beyond. In this role you will invent and build on behalf of candidates experiment and test new ideas evangelize successes and drive consistency.
In this role you will be an independent Business Intelligence Engineer who can source data cleanse analyze refine enrich model present automate and document our business data pipelines. You will always be on the lookout for ways to optimize the information flow process stay on top of latest trends in data warehousing and be able to coordinate and work on multiple related projects.
Additionally you will architect reporting and drive insights into our recruiting efforts and programs. This will include owning data analytics projects from beginning to end building reports compiling metrics and owning ad hoc and trend analysis. You will utilize business intelligence tools to analyze data and drive key recommendations. You will work with Talent Acquisition leadership to achieve business objectives and communicate insights to key stakeholders. Your analyses will contribute deeply to the development of our strategy and drive impact against our hiring objectives.
Finally you will collaborate with subject matter experts across Amazon to work through complex problems and to create unified scalable reporting solutions at an enterprisewide level. You will have the opportunity to partner with the central HR Information Systems teams as an influencer on their next generation road map.


Key job responsibilities
Collaborate with recruiting operations data scientists and business leaders to define business processes and provide analytical support
Leverage code to analyze complex datasets and design develop and evaluate data transformations to solve specific business problems
Build scalable efficient and automated data processes to facilitate customerfacing reporting
Automate TA processes to streamline business operations
Communicate verbally or in writing to business customers / leadership for sharing insights and recommendations
Build dashboards and reports for both recruiting leaders and the businesses they support
Perform complex data analysis across multiple systems to support both scheduled and adhoc reporting requests
Mine key performance indicators to discover root causes
Analyze business outcome data in order to identify relationships and trends; incorporate data visualization and statistical analyses


A day in the life
Are you passionate about driving business & customer impact through thoughtful analysis and datadriven insights Are you a deeply technical individual who enjoys working with customers to transform how a business operates Are you a builder that excels with ambiguity Are you inspired by invention Is problem solving through teamwork and working in a startup environment in your DNA Do you like the idea of seeing how your work impacts the bigger picture Answer yes to any of these and youll fit right in here.

About the team
Amazon Web Services (AWS) is a provider of ondemand cloud computing services. AWS delights millions of customers around the world and the AWS Talent Acquisition team enables our business leaders to make informed and effective hiring decisions.

8 years of professional or military experience
6 years of SQL experience
Experience programming to extract transform and clean large (multiTB) data sets
Experience with data visualization using Tableau Quicksight or similar tools
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience working directly with business stakeholders to translate between data and business needs
Experience managing analyzing and communicating results to senior leadership
Education in Computer Science Mathematics Statistics Engineering Finance or related technical field

Experience with AWS technologies
Experience with theory and practice of information retrieval data science machine learning and data mining
Strong business acumen
Proven ability to use hard data to back up assumptions
Ability to communicate technical information to both technical and nontechnical customers
Proven ability to balance competing priorities in a fastpaced dynamic work environment
A history of teamwork and willingness to roll up ones sleeves to get the job done

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary for this position ranges from $97400/year up to $162600/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. Applicants should apply via our internal or external career site.