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
Data
Scientist II
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Data Scientist II, Product
Data & Analytics
Our Vision :
Product Data & Analytics team builds internal
analytic partnerships, strengthening focus on the health of the
business, portfolio and revenue optimization opportunities,
initiative tracking, new product development and Go-To Market
strategies. We are a hands-on global team providing scalable
end-to-end data solutions by working closely with the business. We
influence decisions across Mastercard through data driven insights.
We are a team on analytics engineers, data architects, BI
developers, data analysts and data scientists, and fully manage our
own data assets and solutions.
Are you excited
about Data Assets and the value they bring to an organization?
Are you an evangelist for data driven decision
making?
Are you motivated to be part of a
Global Analytics team that builds large scale Analytical
Capabilities supporting end users across the continents?
Are you interested in proactively looking to
improve data driven decisions for a global corporation?
Role
Work closely with
global & regional teams to architect, develop, and maintain
advanced reporting and data visualization capabilities on large
volumes of data to support analytics and reporting needs across
products, markets, and services.
Translate
business requirements into tangible solution specifications and
high quality, on time deliverables.
Create
repeatable processes to support development of ETL, modelling and
reporting.
Effectively use tools to manipulate
large-scale databases, synthesizing data insights. Provide 1st
level insights / conclusions / assessments and present findings via
Tableau / PowerBI dashboards, Excel, and PowerPoint.
Apply quality control, data validation, and
cleansing processes to new and existing data sources.
Bring your Passion and Expertise
All About You
Years’
experience in data engineering and management, data mining, data
analytics, data reporting, data product development and
quantitative analysis.
Advanced SQL skills,
ability to write optimized queries for large data sets.
Expert in writing stored procedures, functions
and views is preferable.
Experience on
Platforms / Environments : Cloudera Hadoop, Big data technology stack,
SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other
relevant technologies.
Exposure to Python,
Scala, Hive, Impala, Spark, Cloud, and other related technologies.
Experience in data pipeline creation via tools
such as Alteryx, SSIS etc.
Advanced knowledge
of any of the job scheduling tools such as Apache Airflow, NIFI,
and other related tools.
Experience with any
one of data visualization tools (Tableau, Domo, and / or
PowerBI / similar tools).
Experience with data
validation, quality control and cleansing processes to new and
existing data sources.
Experience presenting
data findings in a readable and insight driven format. Experience
in building support decks.
Must be able to
interact with management, internal stakeholders and collect
requirements.
Must be able to perform in a
team, use judgment and operate under ambiguity.
Financial Institution or a Payments experience
a plus
Education
Bachelor’s or Master’s degree in a Computer
Science, Information Technology, Engineering, Mathematics,
Statistics, M.S. / M.B.A. preferred
Additional
Competencies
Excellent English, quantitative,
technical, and communication (oral / written) skills.
Analytical / Problem Solving
Strong attention to detail and quality
Creativity / Innovation
Self-motivated, operates with a sense of
urgency.
Project Management / Risk Mitigation
Able to prioritize and perform multiple tasks
simultaneously.
Corporate Security
Responsibility
Responsibilities
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.
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Corporate Security
Responsibility
style="text-align : left">
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;
style="text-align : left">
Ensure the confidentiality and integrity
of the information being
accessed;
style="text-align : left">
Report any suspected information
security violation or breach,
and
style="text-align : left">
Complete all periodic mandatory security
trainings in accordance with Mastercard’s
guidelines.
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Data Scientist • Gurugram, HR, India