
Consultant, Performance Analytics
3 days ago
Consultant, Performance Analytics 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 Mastercard's 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. 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: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard. Location: Hyderabad.
Responsibilities- Provide creative input on projects across a range of industries and problem statements.
- Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value.
- Collaborate with Mastercard team to understand clients' needs, agenda, and risks.
- Develop working relationships with client analysts/managers, and act as trusted and reliable partner.
- Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients.
- Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings.
- Lead internal and client meetings, and contribute to project management.
- Contribute to the firm's intellectual capital.
- Receive mentorship from performance analytics leaders for professional growth and development.
Basic qualifications
- 2-5 years of overall career experience in Performance Analytics or similar role.
- Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics.
- Post Graduation MBA/Masters highly preferred.
- Proficiency using data analytics software (e.g., Python, R, SQL, SAS).
- Experience building, managing, and maintaining database structures, and working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark.
- Experience managing clients or internal stakeholders.
- Ability to analyze large datasets and synthesize key findings.
- Advanced Word, Excel, and PowerPoint skills.
- Ability to perform multiple tasks with multiple 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
- Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence.
- Experience managing tasks or workstreams in a collaborative team environment.
- Ability to identify problems, brainstorm and analyze answers, and implement the best solutions.
- Relevant industry expertise.
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach;
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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