AddressAbout the job : In this role, you will design and build robust data products required to support various data science and insights initiatives. As a Sr. Business Intelligence Engineer, you will partner with data scientists, product managers and business leaders across the org to ensure that they have clean and accurate data/ insights through easy-to-use systems for implementing high-quality and timely decisions.
Key Responsibilities in this role would include the below :
- Collect, evaluate, and present actionable data and recommendations to drive marketing, business development and product management decisions at a senior level
- Own, build and automate generation of business metrics using Power BI/ Tableau.
- Examine and solve problems at their root, stepping back to understand the broader context.
- Recognize and adopt best practices in data investigation and reporting: data integrity, test design, analysis, validation, and self-service automation.
- Write high quality code to retrieve and review data. Learn and understand a broad range of EFL's data resources.
- Design, develop, and implement scalable, automated infrastructure for data extraction, processing, computation, and delivery.
- Leverage predictive models, exploratory data analysis (EDA) & other statistical models to solve problems and deliver insight.
What you need to succeed in the role :
- 8+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience; or 6+ years and a Master's degree.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Power BI, Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience developing products on AWS or Google Cloud Services.
- Experience working directly with business stakeholders to translate between data and business needs
