Managing Consultant - Performance Analytics Advisors & Consulting Services

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary Managing Consultant – Performance Analytics Advisors & Consulting Services. We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views and experiences.

Consultant, Advisors Client Services, Data & Services. Mastercard Data & Services provides cutting‑edge data analysis and services to Fortune 500s, governments and nonprofits to make multimillion‑dollar business decisions and grow their organizations. Our Advisors Client Services team combines traditional management consulting with Mastercard’s rich data assets and in‑house technologies to provide our clients with powerful strategic insights and recommendations.



Mastercard Advisors work with a diverse integral customer base across industries, from banking and payments to retail and finance.

The Advisors Client Services group has five specializations: Performance Analytics, Strategy & Transformation, Business Experimentation, Marketing and Project Management. Our Performance Analytics consultants use AI, Machine learning and BI platforms, develop cutting‑edge insights and products for our clients using Mastercard, customer & 3rd party data assets. Apply qualitative and quantitative techniques on our enterprise applications (e.g., Hadoop, Spark, Kafka, NiFi, Python, Impala, and more) to deliver solutions and products that create business impact. Get hands‑on to design, implement & scale analytical solutions for customers across industries.

Positions for these different specializations and levels are available in separate job postings. Please apply to the position that is best suited to your background and experience. If you want additional information regarding the different career levels and specializations within Advisors, visit the Advisors Client Services Specializations webpage.

Roles and Responsibilities

- 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.
- 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 working on business intelligence and/or descriptive, predictive or prescriptive analytics projects.
- Experience managing clients or internal stakeholders.
- Ability to analyze large datasets and synthesize key findings.
- Proficiency using data analytics software (e.g., Python, R, SQL, SAS).
- Advanced Word, Excel and PowerPoint skills.
- Able to perform multiple tasks in a fast‑paced, deadline‑driven environment.
- Able to communicate effectively in English and the local office language.
- Eligible to work in the country where applying and for travel visas as required by travel needs.

Preferred Qualifications

- Experience building, managing, and maintaining database structures.
- Additional data and analytics experience: Hadoop framework and coding using Impala, Hive or Psypark.
- Experience generating new knowledge or creating innovative solutions for a firm.
- Relevant industry expertise.

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