• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
• Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
This job role is mainly for handling BIE requirements, OP1 requests and other Business reporting requirements.
The role of a Business Intelligence Engineer(BIE) I working on this space involves handling reporting requirements in Specialty Reading and Series DataQuality teams. BIE I also occasionally work on setting up data pipelines and Redshift cluster maintenance.
Apply domain/process expertise in working with ETL, EDX and Quicksight Dashboards.
Translate basic business problem statements into analysis requirements, work with the clients to define the best output, influence them and write queries to get the output.
Implement/deploy data visualization or communication like quicksight dashboards, communicate clearly to stakeholders on project requirements and status, communicate analysis, generate periodic reports and work with business stakeholders to understand its value.
Key job responsibilities
The role of a Business Intelligence Engineer(BIE) I working on this space involves handling reporting requirements in Specialty Reading and Series DataQuality teams. BIE I also occasionally work on setting up data pipelines and Redshift cluster maintenance.
Apply domain/process expertise in working with ETL, EDX and Quicksight Dashboards.
Translate basic business problem statements into analysis requirements, work with the clients to define the best output, influence them and write queries to get the output.
Implement/deploy data visualization or communication like quicksight dashboards, communicate clearly to stakeholders on project requirements and status, communicate analysis, generate periodic reports and work with business stakeholders to understand its value.
A day in the life
A day in the life of Business Intelligence Engineer will include working with SDMs and PMs. Getting analysis reports for OP1 requests and other Business Reporting and Analysis requirements.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with scripting language (e.g., Python, Java, or R)
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