AI Product Analyst

We are looking for a Senior Product Analyst to sit within our AI Product Management function and partner directly with Product Managers to drive experimentation, product discovery, and performance insight across our AI portfolio. This position is embedded in product strategy and plays a critical role in shaping hypotheses, designing experiments, validating impact, influencing roadmap decisions, interpreting results, and translating insights into strategic product decisions.

You will work at the intersection of data science, product strategy, and commercial value — helping us answer not just “what happened?” but “what should we build next and why?”

Why This Role Sits in Product

Our AI PMs carry full accountability for strategy, experimentation, and value realisation. To do that well, they need deep analytical partnership embedded in the product lifecycle.

This role exists to:

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Elevate the rigour of how we experiment

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Strengthen the quality of product discovery

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Quantify value in ways that hold up to scrutiny

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Improve the decisions we make — and how fast we make them

What You'll Do

EXPERIMENTATION & CAUSAL ANALYSIS

You'll work on end-to-end experimentation: from design through to recommendation. That means partnering with PMs on A/B tests, quasi-experiments, pilots, and rollout analysis; defining success metrics that connect to real business outcomes; and building measurement frameworks for AI/ML features. Crucially, you won't just report what happened — you'll articulate causal impact and make a clear call on whether to scale, iterate, or sunset.

PRODUCT DISCOVERY & INSIGHT GENERATION

You'll dig into customer patterns, surface friction points, and identify opportunity spaces that aren't yet visible on the roadmap. Working across operational, performance, and customer data, you'll build dashboards and monitoring frameworks that keep the team oriented on what matters — and partner with Data Science to make sense of model outputs and performance trade-offs.

STRATEGIC VALUE QUANTIFICATION

You'll put numbers behind the things that matter most: revenue impact, cost reduction, churn prevention, and customer experience. More than that, you'll translate complex analysis into narratives that are credible, clear, and built to withstand challenge; giving PMs the evidence they need to make the case.

ANALYTICAL STORYTELLING & WRITTEN COMMUNICATION

You'll set the standard for written analytical output within the product team; writing structured experiment readouts, producing insight memos with strong executive summaries, and creating documentation that codifies assumptions, methods, and decisions for the long term.

What We're Looking For

Core Capabilities

EXPERIMENTATION & ANALYTICAL MINDSET

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Strong statistical reasoning and comfort with causal thinking (not just descriptive)

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Proven experience designing and analysing A/B tests or controlled experiments

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Ability to move from data to recommendation with confidence and clarity

PRODUCT DISCOVERY ORIENTATION

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Comfortable operating in ambiguity and forming a point of view without being told where to look

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Can translate messy business problems into sharp analytical questions

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Understands product trade-offs: growth vs. efficiency, precision vs. recall, speed vs. rigour

EXCEPTIONAL WRITTEN COMMUNICATION

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Writes structured, concise insight documents that get to the point

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Thinks clearly and communicates complexity simply

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Comfortable presenting findings and recommendations to cross-functional and senior audiences

Technical Toolkit

CORE ANALYTICS & EXPERIMENTATION

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Advanced SQL

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Python for analysis and modelling

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Familiarity with experimentation platforms or statistical packages

CLOUD & DATA ECOSYSTEM

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Experience in modern cloud data environments (Google Cloud strongly preferred)

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Familiarity with BigQuery, Analytics Hub, dbt or ELT workflows

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Understanding of data lineage, quality frameworks, and schema design

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Comfort navigating multi-source datasets spanning operational, behavioural, and customer domains

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Exposure to APIs, model outputs, and data products surfaced via dashboards or AI interfaces

PRODUCT & INSIGHT DELIVERY TOOLING

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BI and dashboarding tools: Looker, Tableau, PowerBI, or equivalent

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Jira, Confluence, and collaborative documentation practices

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Git-based or version-controlled analytical environments (preferred)

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Strong grounding in data privacy, governance, and responsible PII handling

AI/ML CONTEXT

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Experience embedded in AI/ML product teams

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Ability to interpret model behaviour, performance trade-offs, and data constraints

Ideal Background

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5+ years in Product Analytics, Growth Analytics, or a data-intensive role in Telco, Tech, a Startup, or Consulting

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Direct experience partnering with Product Managers and/or Strategy Managers

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Exposure to AI/ML product environments

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Background in high-growth or experimentation-driven organisations preferred

Culture Fit

This role sits at the h