Lead Data Analyst, Customer Experience (Remote)

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Requirements:

• Seven (7) years of relevant experience in data science or related analytical field.
• Advanced knowledge of statistical/data mining methods and application.
• Advanced knowledge of statistical and analytical model development.
• Advanced knowledge of data modeling techniques and tools; R, Python, SAS, etc.
• Advanced knowledge of visualization tools like PowerBI, Tableau, Quik, etc.
• Master’s Degree in Computational Mathematics, Statistics or related field.
• Certified specialist in predictive analytics or other data science related certifications.

Responsibilities:

• Lead data mining and collection procedures; maintain governance with data architecture and business intelligence teams.
• Ensure data quality and integrity.
• Interpret and analyze data problems; translate into meaningful information and visualizations for executives.
• Conceive, develop, and prioritize data projects in partnership with Cx leadership.
• Build analytic systems and predictive models to support ongoing and future data needs.
• Test and evaluate recommended solutions; manage tuning for improvement.
• Experiment with new models and techniques to adapt solutions over time.
• Align data projects with organization goals.
• Build relationships to size analytical opportunities and create delivery plans for ROI.
• Facilitate analytical discussions around data science applications, explore data modeling, and conduct exploratory data analysis.
• Ensure compliance with regulatory requirements in model implementations.
• Manage analytical projects prioritizing relevant activities and providing expertise.
• Engage in personal development for ongoing skills enhancement.