Senior Data Analyst

Location: Primary residence required in or near approved cities in the United States, Canada, or Mexico; occasional in-person attendance is required.

Salary: $80,000–$138,500 annually in the United States outside California; $97,000–$146,000 annually in California; CAD 101,500–129,500 annually in Canada. The position is also eligible for equity and benefits.

Company

hirify.global operates a digital content and knowledge platform through hirify.global, Slideshare, Everand, and Fable.

What you will do

• Build the Customer Success and Customer Operations analytics function, including lifecycle metrics, business definitions, documentation, and data quality requirements.
• Develop dashboards, KPI scorecards, automated reporting, self-serve analytics, and alerts for operational and executive decision-making.
• Analyze retention, churn, renewals, expansion, customer health, engagement, support efficiency, and related subscription metrics.
• Create forecasting models for renewals, churn, expansion pipeline, ticket volume, and BPO staffing capacity, then translate forecasts into operating plans.
• Prototype AI-enabled analytics workflows such as automated insights, narrative summaries, anomaly detection, and stakeholder Q&A with appropriate guardrails.
• Partner with Customer Success, Customer Operations, RevOps, Finance, Support, Product, and Data Engineering to communicate insights and drive measurable outcomes.

Requirements

• 4+ years of experience in analytics, business operations, or business intelligence, preferably in customer-facing functions.
• Experience in a B2C subscription or membership business and familiarity with LTV, churn, refund, renewal, and cohort metrics.
• Strong SQL skills and experience with analytical datasets and BI tools such as Looker or Tableau.
• Experience working in Databricks, reading gold-layer schemas, and collaborating with Data Engineering.
• Experience with Python or similar tools for analysis, forecasting, and modeling, plus a strong foundation in statistics and experimental thinking.
• Strong communication skills and the ability to work independently amid evolving priorities.

Nice to have

• Experience with customer health scoring, churn modeling, retention and expansion analytics, or lifecycle analytics.
• Experience with analytics engineering practices, including testing, documentation, and semantic layers.
• Experience evaluating AI or LLM-enabled analytics workflows and human-in-the-loop processes.
• Familiarity with SaaS subscription metrics, cohort analysis, billing systems, and Zendesk or similar support platforms.

Culture & Benefits

• hirify.global Flex provides a flexible work model balanced with intentional in-person collaboration.
• Health, dental, vision, mental health, disability, and family support benefits are provided.
• Paid time off includes vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
• Retirement matching, employee equity, learning and development programs, wellness and home office stipends are available.
• Employees receive access to hirify.global products and enterprise access to AI tools.

Hiring process

• Interview accommodations can be requested at any stage of the process.