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Customer Experience Data Analyst

Axelon Services · New York, NY · Hybrid

100100

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Actively hiring

Posted 3 days ago · still listed on the employer's own board · How we score

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  • Posted 3 days ago
  • Still listed on the employer's own board

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Customer Experience Data Analyst at Axelon Services. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Summary

  • Location: New York, NY
  • Work Mode: Hybrid
  • Duration: 4 Months

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.

Requirements

  • 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. Familiarity with Qualtrics is a plus.
  • 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.

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