Product Data Analyst

Overview

This role is posted through a hiring partner on behalf of a client company, which will handle applications and all subsequent recruitment steps. The client is seeking a Product Data Analyst in Ireland.

The position is a high-impact analytics role embedded in a product team that is already very technically capable and comfortable working with data. You will serve as the main analytics partner for product managers, helping them understand user behavior, activation, adoption, and product usage patterns that influence business outcomes. The role blends strong analytical depth with product intuition, allowing you to shape roadmap choices, improve the user experience, and uncover insights that go well beyond routine reporting. You will work in a fast-moving, collaborative environment where both strategic input and hands-on experimentation matter, and where your work will directly affect product growth and user engagement for a leading workflow automation platform.

Key Accountabilities

• Partner closely with product managers as their dedicated analytics support, analyzing product usage, user behavior, and feature performance in depth.
• Perform advanced analysis of activation, onboarding, adoption, retention, and expansion to uncover the main behavioral factors behind product success.
• Provide insights across products and customer segments to build a wider view than individual squad-level analysis alone.
• Work with product managers to shape hypotheses and define analytical methods that help validate product decisions.
• Support roadmap prioritization with clear, evidence-based recommendations on what should be built, improved, or deprioritized.
• Create, assess, and interpret A/B tests and experiments while maintaining statistical rigor and focusing on practical outcomes.
• Collaborate with engineering and product teams on event tracking, instrumentation design, and improvements to data quality.
• Proactively spot high-value analytical opportunities and bring forward insights and recommendations without waiting for a request.
• Convert complex analytical findings into concise, structured narratives that support decision-making across the organization.
• Help raise the standard of analytics methods, experimentation approaches, and measurement practices across the product organization.

Requirements

• At least 5 years of experience in product analytics, data analysis, or a closely related field within B2B SaaS, ideally in product-led growth environments.
• Strong background in analyzing user behavior, product funnels, activation metrics, retention drivers, and feature adoption.
• Advanced SQL skills and familiarity with modern analytics stacks such as BigQuery, dbt, Metabase, or similar tools.
• Solid understanding of statistical techniques, including hypothesis testing, bias detection, and experiment design.
• Hands-on experience designing, running, and interpreting A/B tests and product experiments.
• Experience creating event-tracking schemas and working with engineering teams on instrumentation.
• Ability to independently identify meaningful analytical opportunities and carry them through to completion.
• Excellent communication skills with the ability to turn complex analysis into clear, decision-ready recommendations.
• Strong product judgment and the ability to influence roadmap decisions using data-backed reasoning.
• Experience with behavioral segmentation, cohort analysis, and advanced retention modeling.
• Python knowledge for analysis is beneficial, especially with pandas, scipy, or statsmodels.
• Exposure to causal inference methods or experimentation platforms such as GrowthBook, Statsig, or Eppo would be an advantage.
• Experience with technical or developer-focused products is considered a strong plus.

Benefits

• Market-aligned compensation package.
• Equity participation so you share in the company’s growth.
• Remote-first setup with flexibility across Europe.
• Vacation entitlement that can reach up to 30 days in Europe, depending on location.
• Annual learning and development allowance for courses, books, events, or coaching.
• Unlimited budget for AI tools to boost productivity and innovation.
• A culture built around transparency, autonomy, and strong ownership.
• Regular hackathons and collaborative innovation activities.
• Close collaboration with highly technical product teams in a data-driven setting.
• Exposure to one of Europe’s fastest-growing open-source and automation platforms.
• Remote-friendly culture with periodic team offsites and international collaboration opportunities.

Application and Hiring Process

The hiring partner uses an AI-assisted matching process to review applications quickly, objectively, and fairly against the role’s core requirements. The system identifies the strongest matches, and that shortlist is then passed directly to the client company. Final hiring decisions and next steps, including interviews and assessments, are handled by the client’s internal team.

Data Privacy and Hiring Technology

By applying, you agree that the hiring partner may process your personal data to evaluate your candidacy and share relevant information with the employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. You may exercise your data rights at any time, including access, rectification, erasure, and objection.

The hiring partner may also use AI tools to support parts of the recruitment process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist the recruitment team but do not replace human judgment, and final hiring decisions are made by people. You may contact the hiring partner for more information about how your data is processed.