Lead - Product Analytics

Lytx, Inc.•San Diego, CA

4d•$130,000 - $164,000

About The Position

We are seeking a Lead, Product Analytics to own and scale our product analytics enablement function. Reporting to the Director of UX, this role will serve as the primary steward of our product insights ecosystem, partnering with Product Management, UX, and executive stakeholders to improve how we measure, understand, and act on customer and user behavior. This role is both strategic and hands-on. You will build the operating model, standards, and training that enable PMs and UX Designers to self-serve trusted insights, while also leading higher-complexity analysis and executive-ready synthesis. While Pendo is a primary platform, scope includes our broader data ecosystem including Redshift and key sources such as New Relic, Salesforce, NetSuite, Tableau, Productboard, Dovetail, and Gong. You’ll Get To Own product analytics enablement across PM and UX: training, office hours, documentation, and playbooks that drive consistent, self-serve analysis. Establish protocols and methodologies for insight generation (metric definitions, segmentation standards, cohort approaches, interpretation guidelines, and decision-ready storytelling). Design and operationalize an insights pipeline that makes product analytics usable through AI tools (ex. Copilot), enabling Product Managers to use AI as a thought partner that can retrieve trusted, up-to-date metrics and customer context from Pendo, Redshift, and adjacent systems to support decision-making and narrative building. Manage governance for our analytics ecosystem, including naming conventions, taxonomy, data quality practices, and business processes across tools and data sources (Pendo, Redshift, New Relic, Salesforce, NetSuite, Tableau, Productboard, Dovetail, Gong). Build and maintain scalable self-serve assets: dashboards, vetted reports, reusable segments, and measurement templates aligned to the product lifecycle. Partner with Engineering and Product on instrumentation strategy and ongoing analytics health (tagging, tracking plans, QA, and issue prevention). Deliver advanced analysis and executive-facing insights by connecting product usage signals with warehouse data (Redshift) and customer context (Salesforce and NetSuite). Balance local execution speed with global consistency by partnering with India-based product leadership while maintaining shared standards and definitions. Collaborate with product management to establish standard success metrics for product adoption and commercial success.

Requirements

8 years experience in product analytics or user behavior analysis in a SaaS or product-led environment.
Demonstrated ability to enable non-analyst stakeholders through coaching, frameworks, and repeatable workflows, while also serving as an expert analyst for complex needs.
Strong expertise with Pendo, Amplitude or equivalent tools and the ability to implement global governance, taxonomy, and scalable reporting.
Strong SQL skills and experience with a data warehouse (Redshift preferred).
Familiarity with event instrumentation strategy and partnering with Engineering on specialty tracking plans.
Experience connecting product usage to business outcomes (retention, expansion, onboarding success, support deflection).
Working familiarity with adjacent tools and data sources such as New Relic, Salesforce, NetSuite, Tableau, Productboard, Dovetail, and Gong (or equivalent).

Responsibilities

Own product analytics enablement across PM and UX: training, office hours, documentation, and playbooks that drive consistent, self-serve analysis.
Establish protocols and methodologies for insight generation (metric definitions, segmentation standards, cohort approaches, interpretation guidelines, and decision-ready storytelling).
Design and operationalize an insights pipeline that makes product analytics usable through AI tools (ex. Copilot), enabling Product Managers to use AI as a thought partner that can retrieve trusted, up-to-date metrics and customer context from Pendo, Redshift, and adjacent systems to support decision-making and narrative building.
Manage governance for our analytics ecosystem, including naming conventions, taxonomy, data quality practices, and business processes across tools and data sources (Pendo, Redshift, New Relic, Salesforce, NetSuite, Tableau, Productboard, Dovetail, Gong).
Build and maintain scalable self-serve assets: dashboards, vetted reports, reusable segments, and measurement templates aligned to the product lifecycle.
Partner with Engineering and Product on instrumentation strategy and ongoing analytics health (tagging, tracking plans, QA, and issue prevention).
Deliver advanced analysis and executive-facing insights by connecting product usage signals with warehouse data (Redshift) and customer context (Salesforce and NetSuite).
Balance local execution speed with global consistency by partnering with India-based product leadership while maintaining shared standards and definitions.
Collaborate with product management to establish standard success metrics for product adoption and commercial success.