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 and 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 and 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 and advise and influence decisions of senior business leaders through effective verbal and written communication.
This candidate must possess excellent analytical skills project management experience and 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 and stakeholders is key to ensure the delivery of right metrics. The day ends with monitoring code reviews and documenting progress all while keeping scalability efficiency and Amazons 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 or 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.
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The base salary for this position ranges from $76400/year up to $127600/year. Salary is based on a number of factors and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.