Business Intelligence Engineer

Key job responsibilities

Deliver on all analytics requirements across business areas.

Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, data pipelines etc. to drive key business decisions.

Ensure data accuracy by validating data for new and existing tools.

Perform both ad-hoc and strategic data analyses

Build various data visualizations to tell the story and let the data speak for itself.

Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Build automation to reduce dependencies on manual data pulls etc.

A day in the life

A day in the life of Business Intelligence Engineer will include working closely with Product Managers and Software Developers. Working on building dashboards, performing root cause analysis and sharing actionable insights with the stakeholders to enable data-informed decision making.

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 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 data visualization using Tableau, Quicksight, or similar tools
• Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• Bachelor's degree, or Advanced technical degree
• Experience with statistical analysis, co-relation analysis
• Knowledge of data modeling and data pipeline design