Build your career in the Data, Analytics and Reporting Team, working within the world’s most innovative bank that values creativity and excellence. 

As a Quant Analytics Analyst within the Data Analytics and Reporting Team (DART), you will be responsible for delivering Management Information System (MIS) solutions and supporting daily operations.

 

Job responsibilities

Responsible for supporting day-to-day operations/tasks related to a functional area or business partnerEnsures projects are completed according to established timelinesAssembling data, building reports/dashboardsIdentifies risks and opportunities along with potential solutions in order to unlock value.

 

Required qualifications, capabilities and skills

Professional experience in a combination of business + relevant MIS/ technology/ reporting experienceSome level of business operations & procedures along with the ability to tie into business fundamentalsMust have first-hand experience & knowledge of querying different databases & other source systems for data analysis required for reportingKnowledge of creating reports/ business intelligence solutions using tools like (but not limited to) Tableau, Cognos, Python, Alteryx, SAS etc.General desire and aptitude to learn and adapt to new technologiesMust be open to different points of view Anticipates and resolves both customer and general issues with a sense of urgencyPrior experience in reporting and data analysis development with ability to meet stringent deadlinesRequired – Ability to write/understand SQL (PL/SQL, T/SQL, PostgreSQL or similar) and Data Analysis experience 

Preferred qualifications, capabilities and skills

Bachelor's degree or equivalent required.Prior experience with call center technology data (Avaya CMS, IVR, Aspect, eWFM) is desiredPrior experience with Fraud Operations, CTO Operations and other Consumer and Community Banking departments is desiredPreferred – Creating and deploying reports with a BI tool (examples include but not limited to Tableau, Microstrategy, Cognos, SSRS)Preferred – Sourcing and compiling data from a tool with ETL capabilities(examples include but not limited to SSIS, Alteryx, Trifacta, Abinitio, R, SAS)Preferred  – Knowledge of  R/ Python, Anaconda, HIVEQL, exposure to Cloud Database