Product Analytics Strategist

Cerebras; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

29 days holiday + bank holidays

Private medical and dental healthcare

4–5% pension after 3 years

Hybrid working model (3 days in office

Volunteering days

Dog-friendly office on Mon & Fri

Job summary

The Stepstone Group is seeking a Product Analytics professional to partner with Product Managers and cross-functional teams. You’ll own analytical projects end-to-end, from data collection to insight, including dashboards and A/B test read-outs.

You will work in a Product Analytics department, using AI tooling to accelerate analyses and maintain accountability for correctness. The role focuses on improving product performance and shaping decisions with data.

Qualifications

• In-depth SQL skills and Python for analysis and automation.
• Strong data storytelling and ability to present findings clearly.
• Experience with analytics tools and building dashboards in BI tools.

Responsibilities

• Partner with Product teams to define, monitor, and investigate KPIs and deliver deep-dive analyses.
• Support product discovery through opportunity sizing and hypothesis generation and design of experiments.
• Own data foundations: write tracking specs, validate events across journeys, collaborate with data teams.
• Build and maintain dashboards and insights using Adobe Analytics, Power BI, and Python, with data storytelling.
• Leverage AI tooling to accelerate analysis while ensuring correctness.

Skills

SQL

Python

Data storytelling

Clear communicator

Tools

Adobe Analytics

Power BI

Looker

Tableau

Mixpanel

Job description

The Stepstone Group is seeking a Product Analytics professional to partner with Product Managers and cross-functional teams. You’ll own analytical projects end-to-end, from data collection to insight, including dashboards and A/B test read-outs.

You will work in a Product Analytics department, using AI tooling to accelerate analyses and maintain accountability for correctness. The role focuses on improving product performance and shaping decisions with data.