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Managing Consultant – Performance Analytics Advisors & Consulting Services

Buenos Aires, Buenos Aires, Argentina

Open 6 months, first seen by us 190 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workEligible to work in the country where they are applying and for travel visas as required by travel needs

What you’ll work on

Full posting
  • Lead client engagements and develop analytics strategies for large clients

  • Own key relationships with mid-level to senior client stakeholders

  • Lead project team and deliver client presentations with recommendations

  • Coach and mentor junior consultants

  • Design, implement and scale analytical solutions for customers

From the employer’s posting
Lead client engagements across a range of industries and problem statements
Own key relationships with mid-level to senior client stakeholders
Lead team to creative insights and sound business recommendations, and deliver impactful client presentations
Provide on-the-job training, coaching, and mentorship to junior consultants
Get hands-on to design, implement & scale analytical solutions for customers across industries

What you’ll bring

All qualifications

Core experience

  • 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)

Preferred experience

  • Experience building, managing, and maintaining database structures
  • Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)
  • Experience generating new knowledge or creating innovative solutions for a firm
Qualification wording
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)
Experience building, managing, and maintaining database structures
Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)
Experience generating new knowledge or creating innovative solutions for a firm
Education & alternatives
Relevant industry expertise Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) #AI3
Apply at Mastercard

Posting record

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Open 6 monthsWe first saw this posting 190 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 28, 2026190 days ago
Recorded sightings
234
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 190

Up longer than most. Similar jobs usually come down between day 5 and day 41.

From 10,536 similar postings that came down. Coming down is not always a hire.

Mastercard is hiring

80 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SAS
  • SQL
  • Excel
  • Hadoop
  • Hive
  • Kafka
  • Spark
Where the posting names them
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 global 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 creates 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.
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
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
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

Your next step

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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

Our Purpose

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 of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.

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 global 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 creates 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

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

Basic 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 they are 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

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

#AI3

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.




Source details

View original posting ↗

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Pay

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Location & working pattern

Buenos Aires, Buenos Aires, Argentina

Able to communicate effectively in English and the local office language Eligible to work in the country where they are applying and for travel visas as required by travel needs Preferred qualifications
Work authorization
Able to communicate effectively in English and the local office language Eligible to work in the country where they are applying and for travel visas as required by travel needs Preferred qualifications

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