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, develop analytics strategies and programs for large, regional, and global clients, and own key relationships with mid-level to senior client stakeholders.
Key responsibilities include:
- Leading client engagements and developing analytics strategies
- Owning key relationships with mid-level to senior client stakeholders
- Leading teams to create insights and sound business recommendations
- Providing analytical and day-to-day project delivery team leadership
- Collaborating with internal Mastercard stakeholders to scope projects and create relevant solutions
- Providing on-the-job training, coaching, and mentorship to junior consultants
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
- Analytical, interpretive, and problem-solving skills
- Data and analytics experience with software such as Python, R, SQL, SAS
- 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
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