As an Quantitative Data & Analytics - Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will be tasked with the responsibility of supporting advanced analytics projects across various operational functions, channels, and products. Your role will be crucial in enhancing the customer experience by ensuring the provision of complete,
Job Responsibilities:
- Support & lead partnerships with key Ops stakeholders and Ops Product groups with strong understanding of business drivers, underlying data and processes
Support demand mitigation programs by providing data and analytics leadership across the servicing organization. - Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.
- Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points.
- Manage multiple deliverables focused on gaining insight into various issues and questions that often arise through our current monitoring processes as well as enhancing existing monitoring processes.
- Contribute to business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies.
- Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role.
- Support the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics.
- Embrace a growth and learning mindset; curious and creative; collaborative, team-oriented and client-focused; motivated by business and technical challenges
Required Qualifications, Skills and Capabilities:
- 3+ years of related experience.
- Bachelor's degree in a quantitative or related field required.
- Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta)
Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods - Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
- Collaborate with the Area Product Owners to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals.
- Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills.
- Entrepreneurial drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
- Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment