CX Analytics Lead — BI & AI-Driven Insights

Gusto; Denver (CO); Hybrid; USD 132,000 - 165,000; Full time

Benefits offered by this job

Equity (RSUs)

Benefits

Competitive base pay

Job summary

Gusto, a leading payroll, benefits, and HR platform, is hiring a Business Intelligence Analyst to own the data layer for CX. You will shape pipelines, data models, and dashboards that drive customer outcomes, collaborating with CX leaders and cross-functional teams to ensure data trust and actionable insights.

The role requires 5+ years in data analytics/engineering, strong SQL and Python skills, and experience with Snowflake.

Qualifications

• 5+ years of experience in Data Analytics, Data Engineering, or Data Governance.
• Strong SQL and Python proficiency, capable of querying and analyzing large datasets.
• Strong foundation in data modeling, schema design, and data quality best practices, with experience on cloud platforms like Snowflake.
• Proven experience building and maintaining robust data reporting pipelines and ETL workflows.
• Experience designing or operating governance for AI-assisted analytics outputs with validation standards.

Responsibilities

• Lead ambiguous problems, design analysis and measurement frameworks, and enforce data integrity within your domain.
• Deliver high-impact projects with clear deliverables and timelines.
• Partner with CX leaders, data-science teams, and data engineers to align on strategy.
• Apply advanced statistical methods and AI-driven anomaly detection to improve CX outcomes.
• Develop and scale reporting: define data pipelines and dashboards for day-to-day insights.

Skills

SQL

Python

Data modeling

ETL

AI governance

Communication

Tools

Snowflake

Databricks

Salesforce

Job description

Gusto, a leading payroll, benefits, and HR platform, is hiring a Business Intelligence Analyst to own the data layer for CX. You will shape pipelines, data models, and dashboards that drive customer outcomes, collaborating with CX leaders and cross-functional teams to ensure data trust and actionable insights.

The role requires 5+ years in data analytics/engineering, strong SQL and Python skills, and experience with Snowflake.