Business Intelligence Engineer

DESCRIPTION:

This individual will be responsible for driving/creating:

· Experience working with large, multi-dimensional datasets from multiple sources

· Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.

· Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)

· Experience in deployment of Machine Learning and Statistical models

· Good in product analytics

· Enabling more efficient adhoc queries & 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 learn the latest AWS technologies to provide new capabilities and increase efficiencies

· Mentoring the team on analytics best practices

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 scripting language (e.g., Python, Java, or R)

PREFERRED QUALIFICATIONS:

• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis