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Gusto

Lead CX Business Intelligence Analyst

Gusto

. Own ambiguous data and analytics problems, analysis designs, and measurement frameworks .

Posted 11/10/2026full-timeUnited StatesSenior💰 $132,210 - $200,000 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, Python, and cloud platforms like Snowflake. Capable of applying advanced statistical methods and AI-driven techniques to enhance data integrity and support data-informed decision-making.

Highest-signal resume keywords
Data Analytics ExperienceSQL ProficiencyPython ProficiencyCloud Platform ExperienceData Modeling Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsData EngineeringData GovernanceSQLPythonData ModelingSchema DesignData QualityETL WorkflowsAI-Assisted Analytics
Soft Skills
Clear CommunicationIndependent WorkProject ManagementConflict ResolutionMentoring
Tools & Technologies
SnowflakeDatabricksAI ToolsMonitoring SystemsDashboards
Industry Keywords
Data IntegrityAnomaly DetectionData Reporting PipelinesGovernance PoliciesOperational Decisions

Tech Stack

Tools & technologies
CloudETLPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Own ambiguous data and analytics problems, analysis designs, and measurement frameworks
  • Introduce policies and practices for monitoring and enforcing data integrity
  • Deliver multiple high-impact projects while balancing trade-offs, 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
  • Establish reliable sources of truth from messy and conflicting data sources
  • Use AI for hypothesis generation, code drafting and review, cross-source reconciliation, validation, documentation, and task automation
  • Define dbt and Snowflake data pipeline requirements for evolving CX data sources
  • Build and maintain monitoring systems and streamline dashboards for operational use and self-serve insights
  • Independently determine analytical research, metrics, and data products supporting annual objectives
  • 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 and promote data-informed decision-making

Requirements

What you’ll need
  • 5+ years of experience in Data Analytics, Data Engineering, or Data Governance
  • Strong SQL and Python proficiency
  • Experience querying and analyzing large datasets
  • 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 without perfect requirements
  • Frequent, practical use of AI in analytics workflows, with concrete examples
  • Knowledge of when human verification is non-negotiable

Benefits

Comp & perks
  • Competitive base pay
  • Health insurance
  • 401(k)
  • Equity (RSUs)
  • Secure, reliable, and consistent internet connection required when approved to work away from a Gusto office
  • Hybrid work arrangement with approximately 2–3 days per week in the office for employees based in Denver, New York City, or other listed office locations
  • Reasonable accommodations for qualified individuals with disabilities and disabled veterans