Description
Mastercard's Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations.
As a Managing Consultant, you will lead client engagements across a range of industries and problem statements. You will develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value. You will own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness.
Responsibilities:
- 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:
- 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
- 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)
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