Vice President, Quant Analytics Manager
JPMorgan Chase
- Columbus, OH
- Permanent
- Full-time
- Hands on data engineering and transformation joining and merging multiple data sources, recognizing business-relevant variables and data points, and convert them into data assets with metrics and attributes that creatively represent the business.
- Engage stakeholders and consolidate partnerships to continuously understand business drivers, goals, priorities and opportunities.
- Partner with technical subject matter experts, understand our technological environment and recommend viable end-to-end solutions, including data sources, ETL, transformation and deployment.
- Lead the team and provide guidelines, best practices, and creative approaches to addressing diverse data transformation challenges using mostly SQL.
- Perform ability to manipulate and analyze data, comprehend, and explain the story it represents.
- Socializing, promoting, and supporting the implementation of the analytic solution, working with teams across all business units to identify and recommend ways to leverage it for specific deliverables, including dashboards, reports, adhoc requests, etc.
- Bachelor's degree in relevant quantitative discipline with a focus on data engineering, data warehousing, computer science and/or data-driven analytics.
- Demonstrated advanced SQL skills to conduct data transformation, data discovery, validate, de-duplicate, aggregate, unveil edge cases, understand main attributes, sessionize, transform data structures, etc.
- Experience working across multiple database platforms, both on premises, such as Teradata, Oracle, as well as on Cloud solutions such as AWS and Snowflake.
- Clear communication and presentation skills, with the ability to articulate complex issues concisely.
- Strong organizational skills, keen attention to detail, structured approach to writing code and creating comprehensive documentation.
- Experience designing and deploying ETL processes. Alteryx preferable.
- Experience working on the Financial services industry.
- Experience designing and developing dashboards and visualizations in Tableau, focused on telling the story.
- (For internal candidates) - Working knowledge of internal data platforms (ICDW, Cloud sources) and/or applications (Customer Assist, First Assist, IDMS, Quest, etc.)