Roles and Responsibilities

Client Impact

Lead client engagements across a range of industries and problem statements
Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value
Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness

Team Collaboration & Culture

Lead team to creative insights and sound business recommendations, 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 firm's intellectual capital
Provide on-the-job training, coaching, and mentorship to junior consultants

Qualifications

Basic qualifications

Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
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
Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI)
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 data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark
Experience generating new knowledge or creating innovative solutions for a firm
Relevant industry expertise
Master's degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)

Apprentice - Private Equity & Advisory Profiles

Associate Staff Engineer