Principal, Product Analytics

Posted 2 days ago

This is a fully remote position, open to applicants in Europe.

πŸ“‹ Description

β€’ Explore complex, high-stakes inquiries regarding user behavior and customer experience throughout acquisition, activation, usage, and the overall customer journey.

β€’ Spearhead thorough investigations across both product and non-product touchpoints, which include support, customer success, and sales.

β€’ Pinpoint failure points in user activation pathways and identify opportunities for productized capabilities.

β€’ Analyze acquisition channels, user use cases, and customer intent.

β€’ Carry out regression, causal analysis, statistical assessments, and well-structured experiments.

β€’ Develop actionable data science models, including churn models that can initiate real-time product actions.

β€’ Examine unstructured and AI-specific data, such as agent-user conversations, context layers, and evaluation systems.

β€’ Create market opportunity sizing to aid prioritization efforts.

β€’ Collaborate with engineering managers on metrics related to organizational productivity.

β€’ Transform findings into actionable recommendations for product teams, management, and executives.

β€’ Operate independently with Product Managers, engineering managers, commercial teams, and the VP of Growth to guide experiments, roadmaps, and company strategy.


⛳️ Requirements

β€’ Extensive product analytics experience across growth and broader product areas, with a history of investigations that influenced decisions.

β€’ Proficient in data science and modeling, with the capability to articulate application and business impact.

β€’ Strong foundation in correlation, regression, and causal analysis.

β€’ Proactive in unearthing insights and influencing the agenda.

β€’ Authentic curiosity and an investigative mindset.

β€’ Effective communication with management and executives regarding business impact.

β€’ Experience with unstructured data (preferred).

β€’ Experience in an AI-native company or with AI product data complexity (preferred).

β€’ Understanding of subscription business models (preferred).

β€’ Familiarity with PLG motions in a B2B context (preferred).

β€’ Experience with multi-product platforms, upsells, cross-sells, and bundling (bonus).

β€’ Experience alongside qualitative research (bonus).

β€’ Knowledge in pricing and packaging, including willingness-to-pay, price testing, and bundle performance (bonus).

β€’ Legal authorization to work in the country of employment without visa sponsorship.

β€’ Ability to maintain work authorization without ongoing employer support.


🏝️ Benefits

β€’ Responsibility and autonomy.

β€’ A limited number of impactful projects rather than a continuous stream of tickets.

β€’ Close collaboration with Product, Engineering, Growth, and commercial teams.

β€’ Practical solutions that are utilized, measured, and enhanced.

β€’ Direct visibility into product and strategic decisions.

β€’ Work across both structured and unstructured data, customer dialogues, and AI evaluations.

β€’ Independence and significant impact at a principal level without managerial overhead.

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