User Experience Data Analyst - genesys

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

Job Title: User Experience Data Analyst

Department & Team: User Experience

Reports to: Senior Director User Experience Research

Location: Virtual Office Ireland

Summary:

As a UX Data Analyst, you consistently demonstrate proficiency in data analysis, confidently collaborating within your product and business teams. You work independently on moderately complex analytical projects and clearly articulate your findings and recommendations to stakeholders. You're skilled at balancing analytical rigor, business goals, and data quality considerations in your work.

You'll specifically join the AMP (Analytics and Measurement Program) team, which provides insights on how customers use products within Genesys Cloud. We turn product telemetry into the metrics product teams rely on by building dashboards and maintaining product analytics tools that capture what users actually do. We also manage a custom analytics platform with AI-powered tooling that lets stakeholders ask questions of the data directly. You'll work close to the data itself, spanning product usage and customer feedback, and be the analyst other teams come to when they need to understand user behavior.

AMP builds the tools and workflows for self-serve access to customer behavioral data, so design decisions are grounded in real usage, not intuition or one-off requests, and stay traceable back to the evidence that shaped them. We also raise analytical literacy across the UX organization, helping teams ask sharper questions and read behavioral signals with confidence.

Key Responsibilities:

Analysis & Insight Delivery: Independently scope and execute data analyses of product data for defined business problems, crafting clear, actionable insights aligned with project goals.

Product Analytics Instrumentation: Help set up and maintain our product analytics tooling (Heap, ContentSquare), defining events, keeping the tracking taxonomy accurate as the product changes, and making sure what we measure reflects real user behavior.

Stakeholder Partnership: Act as a first point of contact for incoming analytics requests from product and business teams, clarifying what's really being asked, scoping it, and presenting findings and methodology to both technical and non-technical audiences.