Quant Analytics [Multiple Positions Available]

DESCRIPTION:

Duties: Leverage customer data to generate insights that shape business and marketing strategies for deposit portfolios.

Analyze large and complex datasets, translating them into recommendations that guide decision- making and set priorities.

Develop and deliver business intelligence through dashboards and executive reports, tracking key metrics such as customer engagement, conversion funnel performance, and account production, and share these findings with stakeholders.

Assess omni-channel customer journeys, identifying areas of friction and uncovering opportunities to improve discoverability, increase conversion rates, and enhance the overall customer experience.

Apply advanced analytics techniques and integrate both internal and external data to segment current and potential customers, identify growth opportunities, refine targeting strategies, and evaluate portfolio performance.

Drive the forecasting of P&L impacts for marketing initiatives and business cases, helping to define strategic direction and priorities.

Design and analyze digital experiments, measure campaign effectiveness, and communicate results and recommendations to senior leadership.

Collaborate with teams across marketing, product, technology, and customer experience research to implement initiatives that drive profitable growth.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Business Analytics, Data Science, Data Analytics, or related field of study plus 3 years of experience in the job offered or as Quant Analytics, Strategic Category Analyst, Business Analyst, or related occupation.

The employer will alternatively accept a Bachelor's degree in Business Analytics, Data Science, Data Analytics, or related field of study plus 5 years of experience in the job offered or as Quant Analytics, Strategic Category Analyst, Business Analyst, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Automating the production of recurring reports and dashboards in SQL using ETL techniques and streamlined workflows; Data blending, workflow optimization, process automation, and integration of data from big data platforms using Alteryx; Developing interactive Excel and PowerPoint reports with advanced functions including VLookup, Data Analysis Add-Ons, Pivots, Macros, Data Validation, Waterfall, and Gantt Charts; Preparing performance measurements by translating quantitative information; Performing data ingestion, data transformation, and query optimization using Teradata or Snowflake big data platforms; Conducting statistical analysis and predictive modeling using R or Python; Building interactive Tableau dashboards leveraging advanced visualization, ETL automation, and ODBC connectors; Monitoring customer digital engagement across owned digital platforms, optimizing user experience, and driving data-driven marketing strategies using Adobe Analytics; Driving customer behavioral analyt...