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Mastercard

Associate Managing Consultant, Advisors & Consulting Services, Performance Analytics (12 Months)

Posted 2 Hours Ago
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Remote or Hybrid
Hiring Remotely in Saint Leonards Creek, New South Wales, AUS
Junior
Remote or Hybrid
Hiring Remotely in Saint Leonards Creek, New South Wales, AUS
Junior
Manage client relationships and deliver analytics strategies in financial services, translating data insights into recommendations while ensuring quality.
The summary above was generated by AI
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
Associate Managing Consultant, Advisors & Consulting Services, Performance Analytics (12 Months)
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.
The Advisors & Consulting Services group has five specialisations: 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 synthesise 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: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard
Roles and Responsibilities
Client Impact• Manage deliverable development and workstreams in a payments or financial services context (requires experience with credit/debit cards, BINs, migration programs, regulatory context)• Contribute to and/or develop analytics strategies and programs for large, local client by leveraging data and technology solutions to unlock client value• Manage working relationship with client managers, and act as trusted and reliable partner • May be required to create predictive models using segmentation and regression techniques to drive profits • Review analytics end-products to ensure accuracy, quality and timeliness. • Proactively seek new knowledge and structure project work to facilitate the capture of Intellectual Capital with minimal oversight
Team Collaboration & Culture• Develop sound business recommendations and deliver effective client presentations• Plan, organise, and structure own work to identify effective analysis structures to address client problems and synthesise analysis into relevant findings• Lead team and external meetings• Contribute to the firm's intellectual capital and solution development• Grow from coaching to enable ownership of day-to-day task management and support internal and external colleagues• Develop effective working relationships with local and global teams including business partners
Qualifications
Basic qualifications• Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics• Experience managing clients or internal stakeholders • Ability to analyse large datasets and synthesise key findings to provide recommendations via descriptive analytics and business intelligence• Strong attention to detail and analytical rigour, with ability to hit the ground running• Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals• Data and analytics experience such as working with data analytics software (e.g. Teradata (preferred), GDW/EDW, SQL, Python, R) and building, managing, and maintaining database structures• Advanced Word, Excel, and PowerPoint skills• Ability to manage competing priorities 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 working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualisation tools (e.g., Tableau, Power BI)• Experience managing tasks or workstreams in a collaborative team environment• Experience coaching junior delivery consultants• Relevant industry expertise• MBA or master's degree with relevant specialisation (not required)
Corporate Security Responsibility
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, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Top Skills

Hadoop
Hive
Impala
Power BI
Pyspark
Python
R
SQL
Tableau
Teradata

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