Senior Growth Analytics Lead - Product-Led Growth

Zendesk; Madison (WI); Hybrid; USD 172,000 - 258,000; Full time

Job summary

Zendesk is seeking a Senior Manager, Growth Analytics to lead a team of analysts and partner with PLG Product Managers and Engineers to improve how customers discover, adopt, and expand Zendesk across the journey from acquisition to expansion.

The role combines hands-on analytics with shaping the analytics strategy, operating model, and capabilities to enable Product teams to make better decisions at scale.

Qualifications

• Experience in product analytics, growth analytics or BI for software/SaaS
• Ability to design experiments and interpret results (A/B tests)
• Strong SQL skills across multiple data sources
• Experience with Python or R for analysis

Responsibilities

• Understand PLG journey performance and identify friction points
• Build relationships across Sales, Marketing, Product, Engineering and Data teams to drive self-service growth
• Define business questions, hypotheses, goals and success metrics with PMs/Engineers
• Lead and develop a team of growth analysts with coaching and career development
• Establish and evolve PLG funnel measurement across acquisition, activation, retention and expansion
• Analyze customer behavior using segmentation, cohorts, funnels and experimentation
• Create measurement plans for initiatives and experiments with clear success metrics
• Improve analytics quality with clear metric definitions, event tracking and dashboards
• Leverage AI-assisted tools to accelerate analysis and reporting

Skills

Growth analytics

Product analytics

SQL

Python/R

Data visualization

Cross-functional collaboration

Communication

Tools

Snowflake

dbt

Looker

Tableau

Amplitude

Pendo

Segment

Job description

Zendesk is seeking a Senior Manager, Growth Analytics to lead a team of analysts and partner with PLG Product Managers and Engineers to improve how customers discover, adopt, and expand Zendesk across the journey from acquisition to expansion.

The role combines hands-on analytics with shaping the analytics strategy, operating model, and capabilities to enable Product teams to make better decisions at scale.