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)