Senior Data Intelligence Analyst - Customer Experience
New
B
BILLFintech
United StatesFull-TimeSenior
Salary107,900 - 151,800 USD per year
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Job Details
- Required Skills
- SQLArtificial IntelligenceBusiness IntelligenceData AnalysisMachine LearningData modelingLLM
Requirements
- Strong proficiency in SQL and experience working with large, complex datasets in modern data warehouse and BI environments.
- Hands-on experience building analytical models, dashboards, or intelligence solutions that drive measurable impact in customer experience, operations, or similar domains.
- Familiarity with AI, machine learning, or LLM-based approaches and a passion for applying them to real-world CX and operational problems.
- Exceptional ability to translate complex analysis into clear, compelling stories and recommendations for non-technical stakeholders.
- A proactive, ownership-oriented mindset, with a track record of collaborating across teams to move from insight to execution.
Responsibilities
- Lead the design and development of CX data intelligence solutions, including agentic AI “insight agents” that monitor operational health and recommend actions.
- Analyze customer journeys, contact drivers, and operational metrics to identify friction points, churn risks, and opportunities to improve customer and agent experiences.
- Build and maintain dashboards, reports, and self-service tools that provide CXO leaders with clear visibility into performance, trends, and forecasted outcomes.
- Partner closely with CX operations, support, product, data, and engineering teams to translate insights into prioritized roadmaps, process changes, and experiments.
- Define and refine CX health and retention metrics (e.g., segment-level health scores, leading indicators) that guide investment and intervention decisions.
- Apply advanced analytics, including AI/LLM-powered techniques where appropriate, to automate classification, surface emerging themes, and reduce manual analysis.
- Establish and uphold best practices for data quality, documentation, and governance across CXO analytics assets.
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