CX Business Intelligence Analyst

For our client, we are seeking a CX Business Intelligence Analyst to join the team of a leader in the Enterprise Technology space. This role will focus on turning complex customer experience data into clear, actionable insights that improve performance and inform operational strategy. You will partner closely with cross-functional leaders to define reporting needs, strengthen data integrity, and deliver analyses that support better decision-making across the business. The position calls for someone who can move comfortably between hands-on data work and stakeholder communication while managing multiple priorities with minimal guidance. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $111,160 – $168,419 annually Responsibilities Own ambiguous business problems and design frameworks that improve data integrity Deliver high-impact projects while managing deliverables and timelines Collaborate with cross-functional leaders to align strategies and priorities Use statistical methods and AI to diagnose performance issues and shape strategy Define pipeline requirements for evolving customer experience data and maintain dashboards Prioritize and deliver data projects with minimal guidance Enhance data modeling best practices and mentor data practitioners Present complex findings to diverse stakeholders in a clear and concise manner Qualifications 3+ years of experience in Data Analytics, Engineering, or Governance Proficiency in SQL and Python for large dataset analysis Experience with data modeling, schema design, and cloud platforms such as Snowflake Skilled in building and maintaining data reporting pipelines and ETL workflows Familiarity with AI governance for analytics, including validation standards and audits Strong communication skills with the ability to explain complex data insights simply Independent self-starter who manages competing priorities efficiently Hands-on experience using AI in analytics to drive concrete improvements Benefits Hybrid work model with expected in-office days 2-3 times a week Opportunities for mentorship and professional development Access to a collaborative work environment focused on data-driven decision-making Participation in shaping operational strategies through data insights Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.