The job is looking to solve the business problem of growing business revenue and increasing penetration of total addressable market (TAM) through data-driven advanced analytics efforts.
Requirements
- Experience with data-driven approaches to growing business revenue
- Fluency with large data sets, advanced analytical tools and problem-solving approaches
- Experience in data visualization (Tableau, Qlik), data analysis (SQL, PySpark, Alteryx), data modelling
- Programming skills in Python
- Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning)
Responsibilities
- Work on a portfolio of revenue-growth focused strategy & advanced analytics initiatives
- Develop defensible business cases and ROI models
- Conduct market research, data aggregation and analyses
- Craft clear and coherent narratives, leveraging creative data visualization and compelling story-telling
- Influence strategic agenda by being an objective, data-driven thought partner and advisor to senior leaders
- Direct initiatives, priorities, and demand; mobilize teams with the right mix of skills, experience, and backgrounds for each initiative
Other
- 4+ years of experience focused on strategic data-driven advanced analytics efforts
- Exceptionally strong stakeholder management, influencing and executive-level communication skills
- Master’s degree in computer science, Statistics, Engineering or related fields
- Advanced business analytics and/or MBA degree from a top-tier program
- Financial services industry experience with exposure to B2B banking and revenue growth acceleration
