Business Intelligence Engineer

Role & responsibilities

Core Responsibilities includes but not restricted to:
- Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
- Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling
- Evolve organization wide Self-Service platforms
- Building metrics to analyze key inputs to forecasting systems
- Leading complex analytical deep dives (Segmentation, A/B testing etc,.)
- Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Preferred candidate profile

- Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field
- Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions
- 5+ years work experience in analytics field and working with relational Databases
- Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets
- Fluency in SQL, and deep understanding of ETL is a must.

- Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills
- Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data
- Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight
- Experience working with redshift, Cradle or other AWS tools is a plus Hands On experience with Python,R