The company is looking to enhance customer experiences and optimize operating expenses through advanced analytics solutions.
Requirements
- Skilled using SQL, Python, Alteryx, Tableau, and Adobe Analytics.
- Self-sufficiency in querying and extracting data from Enterprise databases.
- Experience with Machine Learning, AI, and Cloud environments (AWS, Snowflake) preferred.
Responsibilities
- Structure and lead execution of KPIs, trend analysis, dashboards, and analyses including segmentations, optimizations, and other techniques to improve business performance.
- Import, clean, transform, and validate data from multiple sources in preparation for analytics.
- Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points.
- Contribute to business cases, construct A|B test designs, and identify populations for pilot programs; Analyze program performance and derive insights to help inform future customer strategies.
- Leverage a variety of analytical applications (SQL, R, Python, Alteryx, Tableau, Adobe Analytics etc.) to describe, analyze, and interpret trends and patterns in complex data sets.
- Prepare and deliver presentations summarizing insights and conclusions that remove the noise from data and highlight useful information, allowing leadership to make evidence-based decisions.
- Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional teams.
Other
- Lead partnerships with our product groups to build understanding of business drivers and underlying data.
- Mentor and develop a small team of both onshore and offshore associates.
- Bachelor’s degree in a quantitative or related field.
- Master’s degree and/or PhD in relevant field preferred.
- Proven experience in management and leadership, demonstrating strong team-leading abilities.
