Managing Consultant

Title and Summary

Managing Consultant Performance AnalyticsManaging Consultant Performance Analytics

Advisors & Consulting Services

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants.

The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives.

Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience.

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

8-10 years of overall career experience post Masters/MBA or 10-12 years of experience post Graduation

Excellent expertise on Performance Analytics, Python, PySpark & SQL

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

Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)