Data Analyst Consultant (Customer Experience)

Role Overview

The Data Analyst Consultant will help transform customer, agent, and business research into actionable strategic insights that inform enterprise priorities and business decision-making. The ideal candidate combines data visualization skills, data science skills, an understanding of storytelling with data, and clear communication skills.

What You Will Do

The Data Analyst Consultant will develop powerful dashboards, collect feedback from business stakeholders, translate business requirements into intuitive visualizations, and collaborate with stakeholders to refine dashboard requirements and incorporate user feedback.

Why It Might Be a Fit

The ideal candidate will bring a data-driven approach to problem-solving, data storytelling skills, and a demonstrated ability to build a scalable dashboard program.

Requirements

• At least 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, with demonstrated experience creating strategic presentations, executive briefings, and recommendations for senior leadership.
• Strong business acumen and the ability to quickly understand complex business models, customer relationships, distribution channels, and operational dynamics.
• Proficiency with AI-powered tools and technologies to accelerate research, synthesize complex information, identify actionable insights, and enhance efficiency, with a strong emphasis on critical evaluation and accuracy.
• Strong proficiency in PowerPoint and Excel, including the ability to create polished, executive-ready presentations and interpret quantitative analyses.
• Excellent stakeholder management, collaboration, and communication skills, with the ability to influence without direct authority.
• Ability to work independently, manage ambiguity, prioritize competing requests, and deliver high-quality work at speed.

Tagged as: Data Analysis