Join Chase Auto Data & Analytics team to leverage data for competitive advantages and customer value. We value pragmatism, honesty, and simplicity to solve hard problems the right way. Analytics drive business decisions to keep our products simple, valuable, and delightful.
As a Quantitative Analytics / Data Science Manager within the Chase Auto Data & Analytics team, you will lead the transition of data development, analytics, and reporting processes to modern architecture and delivery solutions. You will drive advanced analytics and user adoption of visualization applications, optimizing business aspects like portfolio performance and customer engagement.
You will focus on creating impactful reporting and analytic solutions for dynamic dashboards and intuitive report formats. Your role will be critical in modernizing our reporting and analytics delivery infrastructure, fostering innovation with Big Data technologies, and developing programs to enhance associate skillsets.
Job Responsibilities:
Leverage technical skills to develop SQL code to mine large complex data sets (via Toad, Alteryx, etc.)Use critical thinking skills to learn the business process, identify ROE opportunities, and develop initiatives using analytics.Create analytical or statistical models (e.g., Python) as solutions for identified business opportunities.Harness leadership skills to work independently, taking ownership and accountability of assigned projects.Align to evolving business priorities and deliver strategic solutions for successful execution.Design and develop rich visualization dashboards summarizing performance metrics and KPIs, providing self-serve capability to end-users.Provide strategic partnership on executing data strategy promoting modern data architecture, governance, and democratization of data access.Required Qualifications, Capabilities, and Skills:
Bachelor’s degree in Computer Science, Information Technology, Engineering, Statistics, Economics, or relevant field with 5 years of relevant work experience. Advanced degree preferred.6+ years of producing and overseeing advanced analytics work; 2+ years in people management or project lead experience in advanced analytics.Strong oral and written communication skills to clearly communicate solutions/recommendations to end users.Coordinate with multiple business partners to ensure business needs and projects are identified, prioritized, and executed.Track record of executing large-scale automation initiatives using data exploration, enrichment, and preparation tools like Alteryx.Subject matter expertise in data visualization tools like Tableau, identifying best practices and upholding quality standards in dashboards and analytical solutions.Experience with big data technologies and programming languages including Python, Spark, or Scala.Solid proficiency in developing reporting solutions and providing data analytics.Ability to perform independent research and discovery around data environments, processes, and tools, providing impactful solutions.Ability to adapt to new technologies and data tools, working independently and within a team environment.Ability to manage execution and delivery of multiple projects, adapting to changing business priorities while meeting delivery deadlines.
***Relocation assistance is not available for this role.