User Experience Data Analyst

Genesys

UX Data Analyst converting Genesys Cloud telemetry and customer feedback into actionable product insights. Building dashboards, instrumentation, and AI-assisted analytics workflows for product and business teams.

Posted 8/4/2026full-timeGalway • 🇮🇪 IrelandJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, including strong SQL skills and experience with cloud data warehouses like Snowflake. Proficient in building dashboards and reports, while effectively communicating insights to both technical and non-technical stakeholders.

Highest-signal resume keywords

Strong SQL SkillsExperience With SnowflakeDashboard And Report BuildingData Analysis In SaaS EnvironmentFamiliarity With Heap And ContentSquare

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLDashboard BuildingData VisualizationEvent-Level Product Usage DataPythonCloud Data WarehouseStatistical AnalysisMetric DefinitionAI-Assisted Analytics

Soft Skills

Strong Communication SkillsCollaborationMentorshipProblem-Solving

Tools & Technologies

HeapContentSquareSnowflakeBigQueryRedshiftDatabricksCortex AnalystSnowsightGoogle AnalyticsVersion Control Systems

Industry Keywords

Data ScienceBusiness AnalyticsCustomer Experience AnalyticsContact Center AnalyticsStatistical Methods

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Independently scope and execute product-data analyses for defined business problems
Craft clear, actionable insights aligned with project goals
Set up and maintain product analytics tooling using Heap and ContentSquare
Define events and maintain an accurate tracking taxonomy as the product changes
Serve as the first point of contact for analytics requests from product and business teams
Clarify, scope, and present findings and methodology to technical and non-technical audiences
Build and maintain dashboards and recurring reports
Validate analyses against known baselines and investigate discrepancies to their root cause
Document metric definitions for consistent interpretation
Review and sanity-check AI-generated SQL, metric calculations, and natural-language answers
Seek mentorship and training and contribute to analytical best practices, especially AI in analytics

Requirements

What you’ll need

Bachelor’s degree or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field
Minimum of 2+ years of experience in data analysis or a related analytical role
Ability to independently execute end-to-end analysis within a SaaS environment
Experience building dashboards and reports in a visualization tool
Strong SQL skills with large datasets in a cloud data warehouse
Snowflake strongly preferred, or equivalent depth in BigQuery, Redshift, or Databricks
Comfortable with joins, CTEs, and aggregation at scale
Comfortable working in a documented, version-controlled environment
Ability to connect insights to stakeholder needs
Strong communication skills for presenting findings and gathering feedback across teams
Familiarity with Snowflake stored procedures, semantic views, Cortex Analyst, or Snowsight is desirable
Experience with Heap, ContentSquare, Amplitude, or Google Analytics is desirable
Experience with event-level product usage data, including sessionization, clickstream, funnels, feature adoption, or journey analysis is desirable
Exposure to AI-assisted analytics and evaluating LLM-generated SQL is desirable
Working knowledge of Python for data analysis and automation is desirable
Familiarity with customer experience or contact center analytics domains is desirable

Benefits

Comp & perks

Flexible work options, including hybrid schedules and work-from-home flexibility
Option to collaborate onsite in the Galway office
Continuous learning opportunities
Mentoring and clear paths for advancement
Competitive employer-supported pension plan
Annual bonus program
Private health insurance
Company dental plan
Wellness supports
Income Protection
Life Assurance
Dedicated financial planning resources
Generous paid maternity and paternity leave
AI at enterprise scale
Flexible-first culture
Leadership development and education support
Paid volunteer time
August Free Fridays
Well-being resources
Regionally tailored programs for employees and their families