Sr Business Intel Engineer

Responsibilities:
• Create statistical definition of anomalous data, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define any actions needed.
• Build decision-making models and propose solution for the business problem you defined
• Given anecdotes about anomalies, generate automatic scripts to define anomalies (algorithmic anomaly detection), deep dive to explain why they happen, and identify fixes.
• Build automated tools to support analytics and reporting capabilities (e.g. dashboards, ETL pipelines).
• Utilize code (Python or another object oriented language) for analyzing data constructing algorithms that power insights
• You need to be able to use and orchestrate on Tableau, QuickSight, PowerBI and Excel
• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
• Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
• You will need to understand the source data and be able to synthesize it down to a form suitable for answering specific business questions.