Job responsibilities:
- Work on a portfolio of revenue-growth focused strategy & advanced analytics initiatives, leading to actionable insights for senior business leaders to take forward, and maximize penetration of total addressable market (TAM)
 - Develop defensible business cases and ROI models, to prioritize opportunity set and optimize financial outcomes
 - Conduct market research, data aggregation and analyses towards industry-leading data sets and analytical approaches
 - Direct strategic thinking and approach, guiding teams with the most complex aspects of problem solving
 - Craft clear and coherent narratives, leveraging creative data visualization and compelling story-telling, to enable opportunity prioritization, idea convergence, insight operationalization and stakeholder buy-in
 - 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
 
Required qualifications, capabilities, and skills:
- 3+ years of experience focused on strategic data-driven advanced analytics efforts
 - Experience with data-driven approaches to growing business revenue leading to higher penetration of total addressable market (TAM)
 - Experience managing work streams
 - Fluency with large data sets, advanced analytical tools and problem-solving approaches, as well as the ability to think through abstract issues / problem sets
 - Exceptionally strong stakeholder management, influencing and executive-level communication skills
 - Experience in data visualization (Tableau, Qlik), data analysis (SQL, PySpark, Alteryx), data modelling
 - Programming skills in Python
 
Preferred qualifications, capabilities, and skills:
- Financial services industry experience with exposure to B2B banking and revenue growth acceleration
 - Experience in a leading management consulting firm
 - Master’s degree in computer science, Statistics, Engineering or related fields
 - Advanced business analytics and/or MBA degree from a top-tier program
 - Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning)