Business Intelligence Engineer - BIE

 Partner with product managers, engineers, and business stakeholders to define KPIs and success metrics for Creator Success

 Create comprehensive dashboards and self-service analytics tools using QuickSight, Tableau, or similar BI platforms

 Perform deep-dive analysis on customer behavior, content performance, and livestream engagement patterns

 Design, build, and maintain robust ETL/ELT pipelines to process large volumes of streaming and batch data from Creator Success platform

 Develop and optimize data warehouses, data lakes, and real-time analytics systems using AWS

services (Redshift, S3, Kinesis, EMR, Glue)

 Implement data quality frameworks and monitoring systems to ensure data accuracy and reliability

 Build automated data validation and alerting mechanisms for critical business metrics

 Generate actionable insights from complex datasets to drive product roadmap and business strategy.

Required Qualifications

 Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field

 3+ years of experience in business intelligence/analytic roles with proficiency in SQL, Python, and/or Scala

 Strong experience with AWS cloud services (Redshift, S3, EMR, Glue, Lambda, Kinesis)

 Expertise in building and optimizing ETL pipelines and data warehousing solutions

 Proficiency with big data technologies (Spark, Hadoop) and distributed computing frameworks

 Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices

 Collaborative approach with cross-functional teams including product, engineering, and business teams

 Customer-obsessed mindset with focus on delivering high-quality, actionable insights.

Non-Negotiable Skills

 High proficiency in SQL and Python

 Expertise in building and optimizing ETL pipelines and data warehousing solutions

 Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices

 Experience in working with cross-functional teams including product, engineering, and business teams.

 Experience with AWS cloud services (Redshift, S3, EMR)