Jobs

Managing Consultant, Advisors & Consulting Services, Performance Analytics
Bogota, Colombia
·
On-site
·
Full-time
·
1w ago
Required Skills
Data analytics
Python
R
SQL
SAS
Business intelligence
Excel
PowerPoint
Word
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, Advisors & Consulting Services, Performance Analytics
Overview:
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, Ni Fi, 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:
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Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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About Mastercard

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
Employees
Purchase
Headquarters
$360B
Valuation
Reviews
4.1
15 reviews
Work Life Balance
4.0
Compensation
3.5
Culture
3.5
Career
3.0
Management
3.0
65%
Recommend to a Friend
Pros
Good work-life balance reputation
Competitive compensation packages
Strong benefits and perks
Cons
Recent layoffs and job insecurity
Limited negotiation flexibility on salary
No RSUs for some positions
Salary Ranges
32 data points
Junior/L3
Director
Junior/L3 · Data Engineer
5 reports
$137,800
total / year
Base
$106,000
Stock
-
Bonus
-
$107,900
$166,918
Interview Experience
7 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer Rate
29%
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Behavioral Interview
5
Final Round/Super Day
6
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
News & Buzz
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Mastercard Stock Rises on Earnings. Consumer Spending Is ‘Healthy,’ Says CEO. - Barron's
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·
5w ago