Customer Experience Data Analyst

Responsibilities

• Develop powerful dashboards by collecting feedback from business stakeholders and translating business requirements into intuitive, meaningful, and actionable visualizations
• Apply data visualization best practices and develop interactive features that enable users to explore and interpret data
• Identify, access, and retrieve relevant data from multiple internal and external sources, integrating information to create comprehensive datasets
• Clean, standardize, and transform survey and unstructured data into structured, analysis-ready datasets
• Analyze complex datasets to identify trends, patterns, relationships, and actionable insights
• Develop and maintain processes to ensure dashboard data is updated accurately, consistently, and on schedule
• Establish and execute data validation and reconciliation procedures to ensure reporting accuracy
• Partner with business stakeholders to understand reporting needs and translate business requirements into technical and analytical specifications

Preferred

• Familiarity with Qualtrics

Benefits

• Hybrid work arrangement
• Glassdoor
• 4.0
• Global staffing and talent matching services provider.
• New York, New York, USA
• http://axelon.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Customer Service and Support
• Trends of Total Sponsorships
• *2026
• (6)
• 2025
• (13)
• 2024
• (14)
• 2023
• (3)
• 2022
• (7)
• 2021
• (17)
• 2020
• (12)
• Late Stage
• Leadership Team
• Tania Obeid

Qualifications

• Minimum three years of professional experience in data visualization and data science, ideally within financial services or another complex, regulated industry
• Demonstrated ability to develop clear dashboards, supported by data pipelines
• Experience in Tableau, scripting languages such as R, Python, SQL
• Exceptional written and oral communication and executive storytelling skills
• Strong business acumen and the ability to quickly understand complex business models
• Proficiency with AI-powered tools to accelerate research and synthesize complex information
• Strong proficiency in PowerPoint and Excel
• Excellent stakeholder management and communication skills
• Ability to work independently and manage ambiguity
• Familiarity with Qualtrics
• Minimum three years of professional experience in data visualization and data science, ideally within financial services or another complex, regulated industry.

Required skills

• Dashboard Development, Data Science, Data Visualization, Executive Storytelling, Financial Services, Microsoft PowerPoint, Python, Qualtrics, R, SQL, Stakeholder Management, Tableau

Preferred skills

• Familiarity with Qualtrics

Experience

• 3+ years