Lead CX Business Intelligence Analyst (AI)

Location: Hybrid in Denver, CO or New York, NY; office attendance is expected approximately 2–3 days per week or more depending on the role.

Cash compensation: $132,210–$165,263 per year in Denver; $160,000–$200,000 per year in New York.

Company

hirify.global provides payroll, health insurance, 401(k), and HR products for more than 500,000 small businesses.

What you will do

• Own ambiguous CX analytics problems, define measurement frameworks, and establish data integrity policies and practices.
• Build and maintain data pipelines, models, ETL workflows, monitoring systems, and operational dashboards for evolving CX data sources.
• Apply advanced statistical methods and AI-driven anomaly detection to identify opportunities, diagnose performance issues, and answer causal questions about customer outcomes.
• Partner with CX leaders, data science, data engineering, and tool developers including Salesforce to align priorities and strategy.
• Improve data modeling, schema design, data quality, reporting practices, and adoption of analytical capabilities; mentor other data practitioners.
• Present complex investigations clearly to technical and non-technical stakeholders and support data-informed decision-making.

Requirements

• 5+ years of experience in Data Analytics, Data Engineering, or Data Governance.
• Strong SQL and Python proficiency, including querying and analyzing large datasets.
• Strong foundation in data modeling, schema design, and data quality practices, with experience using cloud platforms such as Snowflake.
• Experience building and maintaining robust reporting pipelines and ETL workflows.
• Experience designing or operating governance for AI-assisted analytics outputs, including validation standards for AI-generated code and metric definitions, dashboard drift and source-of-truth audits, and documented rules for mandatory human review of performance-adjacent data products.
• Comfort working within an organizational AI use policy and frequent practical use of AI in analytics workflows, with concrete examples of using AI for pipeline scaffolding, code writing and review, data validation, or documentation.
• Clear, direct communication skills, including explaining complex data investigations to non-technical stakeholders in 1–2 sentences before providing detail.
• Ability to work independently, manage competing priorities, and advance projects without perfect requirements.

Culture & Benefits

• Full-time employees receive base pay, benefits, and RSU equity.
• AI tools are an expected part of work, with fluency developed as the technology evolves.
• Hybrid employees must maintain reliable, secure, and consistent internet access when working outside the office.
• Regular and predictable attendance is expected for in-office, hybrid, and fully remote work arrangements.
• hirify.global supports an inclusive workplace and provides reasonable accommodations during the application process.