CX Business Intelligence Analyst

Gusto

. Own ambiguous data problems and design analysis and measurement frameworks .

Posted 11/6/2026full-timeUnited StatesMid-LevelSenior💰 $111,160 - $168,419 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Analytics, Data Engineering, and Data Governance, with a strong focus on SQL and Python proficiency. Capable of designing data models, ensuring data quality, and utilizing AI for advanced analytics and reporting.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyData ModelingSnowflake ExperienceAI-Driven Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData EngineeringData GovernanceData Quality Best PracticesETL WorkflowsStatistical MethodsAnomaly DetectionData Pipeline RequirementsMonitoring SystemsStreamlit Dashboards

Soft Skills

Clear CommunicationIndependent WorkProject ManagementConflict ResolutionMentoring

Tools & Technologies

SnowflakeDatabricksAI ToolsSalesforceStreamlit

Industry Keywords

Data IntegrityData ModelingSchema DesignGovernanceAI-Assisted Analytics

Tech Stack

Tools & technologies

CloudETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Own ambiguous data problems and design analysis and measurement frameworks
Introduce policies and practices for monitoring and enforcing data integrity
Deliver multiple high-impact projects while balancing trade-offs and managing deliverables and timelines
Partner with CX leaders, cross-functional data-science teams, Salesforce/tool developers, and data engineering
Apply advanced statistical methods and AI-driven anomaly detection to uncover opportunities and diagnose performance issues
Reconcile messy and conflicting data sources to establish reliable sources of truth
Use AI for hypothesis generation, code drafting, cross-source reconciliation, validation, documentation, and task automation
Define dbt and Snowflake data pipeline requirements
Build and maintain monitoring systems and Streamlit dashboards
Prioritize and deliver data projects with minimal guidance
Resolve stakeholder conflicts and misalignment
Improve data modeling, schema design, data quality, and adoption of data capabilities
Expand toolsets such as Databricks for AI-augmented modeling and anomaly detection
Mentor other data practitioners
Present complex findings to technical and non-technical stakeholders

Requirements

What you’ll need

3+ years of experience in Data Analytics, Data Engineering, or Data Governance
Strong SQL and Python proficiency
Strong foundation in data modeling, schema design, and data quality best practices
Functional experience with cloud platforms such as Snowflake
Experience building and maintaining robust data reporting pipelines and ETL workflows
Experience designing or operating governance for AI-assisted analytics outputs
Validation standards for AI-generated code and metric definitions
Drift and source-of-truth audits on dashboards feeding operational decisions
Documented rules for when human review is required for performance-adjacent data products
Comfort working within an organization's AI use policy
Clear, direct communication style
Ability to work independently, manage competing priorities, and drive projects forward
Frequent, practical use of AI in analytics workflows, with concrete examples
Ability to explain complex data investigations to non-technical stakeholders

Benefits

Comp & perks

Competitive base pay
Benefits
Equity (RSUs)
Secure, reliable, and consistent internet connection requirement when approved to work outside a Gusto office