Quant Analytics Associate - SQL, Alteryx and Tableau
Quant Analytics Associate - SQL, Alteryx and Tableau
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Job Description
We have an exciting opportunity for you to elevate your career in data analytics and make a significant impact within our organization.
As a Quant Analytics Associate within the Consumer and Community Banking Data and Analytics organization you support advanced analytics projects across various operational functions channels and products. Your role is crucial in enhancing the customer experience by providing comprehensive analytics support to maintain better controls within the firm.
Job Responsibilities:
- Supports and leads partnerships with key Ops stakeholders and Ops Product groups with a strong understanding of business drivers underlying data and processes.
- Provides data and analytics leadership across the servicing organization to support demand mitigation programs.
- Leads the development and reporting of Ops performance metrics and KPIs using analytical tools such as trend analysis segmentation and optimization to improve business function performance.
- Analyzes customer interactions across various channels (calls branch online mobile) to understand customer journeys and friction points.
- Manages multiple deliverables focused on gaining insights into various issues and questions that arise through current monitoring processes and enhance existing monitoring processes.
- Prepares and delivers presentations summarizing insights and conclusions for executives in regularlyscheduled analytics meetings.
- Supports the creation of dashboards and visualizations to measure the impact of implemented products and provide management with selfservice tools to explore and report on current trends of key metrics.
Required Qualifications Capabilities and Skills:
- Minimum four years of related experience. Bachelors degree in a quantitative or related field.
- Handson experience with SQL Alteryx and Tableau.
- Knowledge in Statistics ((hypothesis testing A/B testing)
- Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
- Ability to communicate effectively with senior leaders to enable collaboration decisionmaking and transparency with excellent presentation skills.
- Selfmotivated goaloriented and able to manage and deliver in an innovationdriven and fastpaced environment.
Preferred Qualifications Capabilities and Skills:
- Python programming skills. SAS
- Familiarity with data mining statistical modeling machine learning and other advanced analytics methods
- Credit Cards industry background Marketing analytics background
Required Experience:
IC
Employment Type
Full-Time
