Remote AI Product Analytics Lead

Grafanalabs; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity

Bonus (if applicable)

Other benefits listed here

Job summary

Grafana Labs is seeking a Staff Product Analyst for its Product Analytics team to partner with the AI organization. You’ll shape KPIs for AI-powered experiences, help measure adoption, engagement and outcomes, and guide instrumentation with Design, PM and Engineering.

You will influence product decisions by designing experiments, transforming data with dbt, and developing dashboards that scale across teams.

Qualifications

• SQL: writing complex yet efficient SQL is a daily habit for you.

Responsibilities

• Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning.
• Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes.
• Guide the instrumentation of product data in collaboration with Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows.
• Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions.
• Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team
• Influence best practices for Product Analytics across teams and help define standards as the company scales
• Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions.

Skills

SQL

Data visualization

AI features

Experiment design

Cross-functional partnering

Communication

Analytics storytelling

Tools

Tableau

Looker

Omni

Hex

Grafana

dbt

Heap

Pendo

Amplitude

FullStory

git

Job description

Grafana Labs is seeking a Staff Product Analyst for its Product Analytics team to partner with the AI organization. You’ll shape KPIs for AI-powered experiences, help measure adoption, engagement and outcomes, and guide instrumentation with Design, PM and Engineering.

You will influence product decisions by designing experiments, transforming data with dbt, and developing dashboards that scale across teams.