Growth Analytics Lead — Product-Led Growth

Zendesk

New Mexico

Hybrid

USD 172,000 - 258,000

Full time

2 days ago
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Job summary

Zendesk is seeking a Senior Manager of Growth Analytics to lead a team of analysts focused on product-led growth across the customer journey. This role partners with PLG Product Managers and Engineers to define questions, hypotheses, goals, and success metrics, while shaping analytics strategy and capabilities for scalable decision making.

You will work hands-on with SQL and Python, design measurement plans, and drive dashboards and self-service reporting.

Qualifications

  • Extensive experience in product analytics and growth analytics within SaaS or software.
  • Experience designing, measuring, or interpreting product experiments and A/B tests.
  • Strong SQL skills and ability to work with data from multiple sources.
  • Proficiency in Python or R for statistical analysis and data preparation.
  • Experience with Snowflake and dbt for data modeling and transformation.
  • Ability to define meaningful metrics and measurement plans with Product and Engineering.
  • Experience building dashboards and self‑service reporting using Looker/Tableau/Amplitude/Pendo/Segment.

Responsibilities

  • Lead and grow a team of growth analysts, setting priorities and coaching.
  • Define and align analytics strategy, goals, and success metrics for PLG initiatives.
  • Establish measurement plans across acquisition, activation, retention, and expansion.
  • Develop trusted metrics, event tracking, and reusable analytics assets.
  • Collaborate with Sales, Marketing, Product, Engineering, and Data teams to drive self‑service bookings and growth.

Skills

SQL
Python
Snowflake
dbt
Data visualization
Team leadership
Communication

Tools

Looker
Tableau
Amplitude
Pendo
Segment

Job description

Zendesk is seeking a Senior Manager of Growth Analytics to lead a team of analysts focused on product-led growth across the customer journey. This role partners with PLG Product Managers and Engineers to define questions, hypotheses, goals, and success metrics, while shaping analytics strategy and capabilities for scalable decision making.

You will work hands-on with SQL and Python, design measurement plans, and drive dashboards and self-service reporting.

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