Job
Description
Lead client engagements across a range of industries and problem statements Develop strategies and programs for regional and global clients by leveraging data science tools including Test & Learn Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Provide analytical and technical subject matter expertise and drive client success through Test & Learn adoption and competency Team Collaboration & Culture Lead team to creative insights and sound business recommendations using Test & Learn , and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firms intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications Basic qualifications Undergraduate degree with analytical experience in consulting, analytics, or data science Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials, and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional relevant data and analytics experience in data modeling and database management (e.g., SQL), data visualization tools (e.g., Tableau, Power BI), or time series analysis and segmentation Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise MBA or master s degree with relevant specialization (not required)
