Business Intelligence Engineer, IT PnD Data and Analytics
Amazon Development Centre Canada ULC•2d ago
CanadaOnsiteCA$76.4K–CA$127.6KFull-timeMid Level3+ yrs exp
Top focus
Analytics EngineerData EngineerVp DataData Warehouse EngineerData Analyst
- IT PnD Data and Analytics is seeking a Business Intelligence Engineer to join our BI team. As a Business Intelligence Engineer with our team, you will be working in a large, complex and dynamic, data-driven environment. You will be responsible for developing automated metrics that provide relevant insight to organizational leaders, building and maintaining dashboards
- performing complex data analytics. This position requires the candidate to develop a deep understanding of the organization and key goals, earn trust with senior leadership, influence without authority
- provide relevant data insights. To succeed, you must have the ability to engage deeply with diverse and talented business partners, earn trust using facts and data
- advise and influence decisions of senior business leaders through effective verbal and written communication. This candidate must possess excellent analytical skills, project management experience
- a track record of delivering results in a complex and ambiguous environment. Key job responsibilities - Perform complex business analysis to help drive organizational decision-making - Complete root cause analysis and provide recommendations to senior leadership to address opportunities - Develop automated metrics that will give senior business leaders insight into the performance of their respective teams and the organization as a whole - Develop and maintain Tableau dashboards - Develop key metrics and shared goals that determine success for a particular area - Take on shared ownership of the weekly organizational metrics scorecard A day in the life A day in the life of a BI engineer at IT PnD involves building large-scale reporting solutions using tools like Tableau and QuickSight. The day typically starts with a team stand-up to align on priorities, followed by deep work on developing and refining data transformation, building reports and automating processes. Collaboration with data scientists, analysts
- stakeholders is key to ensure the delivery of right metrics. The day ends with monitoring, code reviews
- documenting progress, all while keeping scalability, efficiency
- Amazon’s high standards for data quality in mind.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight
- similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in the data/BI space - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
- location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off
- other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 76,400.00 - 127,600.00 CAD annually
Required skills
TableauQuickSightSQLPythonRedshiftOracleNoSQLETLdata modelingdata warehousingRSASMatlab