CX Business Intelligence Analyst

📋 Description

• Lead: Own ambiguous problems, design analysis and measurement frameworks, and introduce policies
• Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value
• Strategic Partnership: Partner with CX leaders, cross-function data-science teams, tool developers
• Analytical Rigor: Apply advanced statistical methods and AI-driven anomaly detection to proactively
• Develop and scale reporting: define DBT and Snowflake data pipeline requirements for evolving CX
• Independence: Work with minimal guidance to prioritize, create, and deliver data projects

🎯 Requirements

• 3+ years of experience in Data Analytics, Data Engineering, or Data Governance.
• Strong SQL and Python proficiency, capable of querying and analyzing large datasets with ease.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional
• Proven experience building and maintaining robust data reporting pipelines and ETL workflows.
• Demonstrated experience designing or operating governance for AI-assisted analytics outputs. At
• Clear, direct communication style. You can explain a complex data investigation to a non-technical

🎁 Benefits

• Competitive base pay
• Benefits
• Equity (RSUs)