Senior Product Analytics Engineer

TL;DR

Senior Product Analytics Engineer (PlayStation/Data Analytics): Building and optimizing event instrumentation, data pipelines, and A/B test setups to ensure measurable and insightful product improvements for personalized content. Focus on creating high-quality data collection standards, validating data interpretability, and analyzing experiment results to drive data-driven decision-making.

Location: This role will be based out of Dublin, Ireland.

Company

hirify.global is a global leader in entertainment producing PlayStation products and services, focused on creating an inclusive environment and embracing diversity.

What you will do

• Implement comprehensive event instrumentation across backend & frontend services to capture critical user and product signals.
• Create and maintain event schemas, logging standards, and integration specs for consistent, high-quality data collection.
• Align with engineers, product managers, and data scientists on KPIs, metric definitions, and experiment tracking plans.
• Validate data quality and interpretability, ensuring emitted events are analytics-ready.
• Build or refine lightweight data pipelines/transformations to convert raw events into usable datasets.
• Own A/B-test instrumentation, tracking setup, and initial data validation, then analyze experiment results to present actionable insights.

Requirements

• Quantitative degree or equivalent experience in Statistics, Computer/Data Science, Mathematics, or Analytics.
• 5+ years in analytics-driven roles (data analytics/engineering/science or software engineering) within consumer-facing product environments.
• Advanced SQL plus coding proficiency in Python, Java, or TypeScript.
• Hands-on experience with large datasets & complex queries, optimizing for performance and reliability.
• Experience with event/logging pipelines (Kafka, Kinesis, Datadog, OpenTelemetry) and product-analytics platforms (Amplitude, Mixpanel, Adobe Analytics).
• Proven cross-functional collaboration with engineering, product, and data-science teams.

Nice to have

• Data-visualization expertise with tools such as Tableau or Power BI.
• Domain knowledge in personalization or e-commerce metrics.
• Hands-on experience with A/B-testing frameworks and statistical evaluation methods.

Culture & Benefits

• Be part of a fast-paced, collaborative environment where your work directly influences product development and improvement.
• Act as a key bridge between engineering execution and data-driven decision-making.

Hiring process

• hirify.global conducts background checks at the offer stage for all new employees.