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Gusto

Runs payroll and HR software for small businesses

Lead CX Business Intelligence Analyst

Business IntelligencePosted on Nov 10
Full-time

About the Job

Requirements

  • At least 5 years of experience in data analytics, data engineering, or data governance.
  • Strong proficiency in SQL and Python, including querying and analyzing large datasets.
  • A strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms such as Snowflake.
  • Experience building and maintaining robust data reporting pipelines and extract, transform, and load (ETL) workflows.
  • Experience designing or operating governance for AI-assisted analytics outputs, including validation standards for AI-generated code and metric definitions; drift and source-of-truth audits on dashboards that inform operational decisions; and documented rules for when human review is mandatory for performance-adjacent data products.
  • Comfort working within an organization's AI use policy.
  • Ability to explain complex data investigations clearly to non-technical stakeholders.
  • Ability to work independently, manage competing priorities, and drive projects forward without complete requirements.
  • Frequent practical use of AI in analytics workflows, with concrete examples of how it has changed pipeline development, code writing and review, data validation, or documentation, and sound judgment about when human verification is mandatory.

Responsibilities

  • Own ambiguous problems, design analysis and measurement frameworks, and introduce policies and practices for monitoring and enforcing data integrity within the role's domain.
  • Deliver multiple high-impact projects, balance trade-offs to maximize business value, and maintain clear expectations for deliverables and timelines.
  • Partner with CX leaders, cross-functional data science teams, tool developers such as Salesforce, and data engineering to align on strategy.
  • Apply advanced statistical methods and AI-driven anomaly detection to uncover opportunities, diagnose performance issues, shape CX strategy, and distinguish signal from noise.
  • Reconcile messy and conflicting data sources to establish reliable sources of truth.
  • Use AI to accelerate hypothesis generation, code drafting, cross-source reconciliation, and validation, and build agents to automate repetitive tasks.
  • Define dbt and Snowflake data pipeline requirements for evolving CX data sources, build and maintain monitoring systems, and streamline dashboards for day-to-day operations and self-service insights.
  • Independently determine analytical research, metrics, and data products needed to achieve annual objectives, and proactively resolve stakeholder conflicts or misalignment.
  • Improve team practices in data modeling and schema design, expand toolsets such as Databricks for AI-augmented modeling and anomaly detection, improve data quality and rigor, and increase adoption of data capabilities.
  • Present complex findings in a structured, compelling way to technical and non-technical stakeholders and foster a data-informed mindset across the company.
  • Mentor other data practitioners.

About the Company

Gusto

Runs payroll and HR software for small businesses

Gusto runs payroll, benefits administration, and HR software for small and midsize businesses that want to manage their teams in one place. Its payroll system calculates wages and taxes, files required forms, and connects employee hours with pay runs. Employers use the same platform to enroll workers in health insurance and retirement plans, manage time off, and organize hiring paperwork, while staff access paystubs through personal accounts. Businesses pay monthly subscription fees based on their plan and workforce size, with extra charges for selected services and faster payment options. Gusto was founded in 2011 and is headquartered in San Francisco, California.

Company size
1,001-5,000
Company stage
Series E
Total funding
$706.2M
Headquarters
San Francisco, CA
Founded
2011

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