Job Summary
We are seeking a customer-obsessed Business Intelligence Engineer who thrives in a culture of data-driven decision-making. This individual will be responsible for helping us hold a high bar for the RBS Data Engineering Team by driving and creating key initiatives.
Key Responsibilities
* Experience working with large, multi-dimensional datasets from multiple sources.
* Making recommendations for new metrics, techniques, and strategies to improve operational and quality metrics.
* Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.).
* Experience in the deployment of Machine Learning and Statistical models.
* Building new Python utilities and maintaining existing ones.
* Enabling more efficient ad-hoc queries and analysis.
* Working closely with research scientists, business analysts, and product leads to scale data.
* Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues.
* Exploring and learning the latest AWS technologies to provide new capabilities and increase efficiencies.
* Mentoring the team on analytics best practices.
Requirements
BASIC QUALIFICATIONS
* 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.
* Experience with data visualization using Tableau, QuickSight, or similar tools.
* Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
* Experience with a scripting language (e.g., Python, Java, or R).
PREFERRED QUALIFICATIONS
* Master's degree or Advanced technical degree.
* Knowledge of data modeling and data pipeline design.
* Experience with statistical analysis, correlation analysis.