
Business Intelligence Specialist
2 days ago
Key Responsibilities
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)
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