Performance Analytics Lead Data Scientist

Join our dynamic team as a Data Scientist and play a pivotal role in transforming employee engagement and performance analytics. The Data Analytics and Reporting (DART) Performance Analytics team’s mission is to support the Consumer and Community Banking (CCB) Performance Excellence program by providing high-quality insights to drive strategic decisions and enhance the employee experience using an exciting new employee engagement platform. 
 

As a Data Scientist Lead in Data Analytics and Reporting, you will be responsible for understanding the employee engagement platform features and roadmap; developing a robust data asset for analytics and reporting and delivering actionable insights to inform and influence platform adoption and improve performance.
 

Job responsibilities:

• Understand and analyze platform features and capabilities to determine touch points and patterns that are meaningful to employee engagement, experience, and performance.
• Develop and manage comprehensive data assets to support ongoing analytics and reporting needs.
• Conduct deep-dive analyses to assess employee engagement and performance, identifying patterns, trends, and opportunities for improvement.
• Design and implement repeatable insights to monitor engagement and performance outcomes.
• Collaborate with leadership and Performance Excellence stakeholders to define metrics and KPIs that align with business objectives and enhance platform effectiveness and adoption.
• Lead A/B testing and experiments to refine strategies and platform activities.
• Provide insights and recommendations to stakeholders to drive strategic initiatives and improve employee satisfaction and productivity.
• Communicate verbally and in writing using compelling data visualization and modern story telling techniques for senior audiences

Required qualifications, capabilities, skills:

• Minimum of a bachelor’s degree and 6 plus years of experience in a quantitative or related field.
• Knowledge of statistical software, including SAS, Python, SQL, and R.
• Applied knowledge of statistical methods and concepts.
• Knowledge of data mining and visualization.
• Subject matter expert in statistical techniques, predictive modeling, time series forecasting, text mining.
• Comfortable summarizing complex concepts into digestible information for broad consumption.
• Transform information derived from data into actionable insights which relate to the organization's key strategic objectives.
• Strong story telling capabilities. 

Preferred qualifications, capabilities and skills:

• Experience with HR and call center analytics especially in employee engagement and performance metrics.
• Familiarity with social media analytics or gamification strategies, tools, and analytics.

Schedule: Monday thru Friday 8am to 5pm

This role does not offer visa sponsorship.

This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week.