This role is responsible for providing analytical and data support for the Analytics and Model Development team within Consumer Banking Client Services.
Key areas of focus for this role include data delivery, reporting, automation, insights, and forecasting optimization with AI.
These areas of focus can also include performance trend analysis, the assessment and development of tools to automate and streamline processes, uncover actionable business insights to drive process change, project planning, data analysis, data science, and cross team collaboration with other Resource Planning & Optimization teams.
The candidate will work across both Data Analytics and Data Science spectrums to source resource planning and performance data / metrics and compile into Executive level dashboards on a project or ad hoc basis.
The candidate will leverage ETL tools to automate existing processes and drive operational excellence initiatives.
The candidate will connect to existing SQL Server, Oracle, Teradata, and Hadoop databases to query data for reporting, perform trend analysis to understand areas of improvement, and present to key business stakeholders.

1+ years of SQL Coding experience
1+ years of Tableau experience
Experience with Python and statistical methods in understanding relationships in data
Advanced Excel proficiency
Strong written and oral communication skills with broad business acumen
Ability to manage multiple projects in a complex and rapidly-changing environment
Excellent time management skills
Ability to work independently as well as part of a team
Strong analytical and problem-solving skills to effectively communicate with technical and non-technical audiences and quickly elevate any risks or challenges.
Positive Attitude and willingness to learn.

Consumer Product Strategy Analyst II/III – Analytics, Model Development

Key skills