Data Scientist

Data Scientist

  • Anywhere

Company Name:-
MasterCard

Job Location:-
Gurgaon, Haryana

Job Summary:-
Integrated Analytics has pioneered a transaction based revenue methodology to inform and guide Mastercard’s Strategy, Product Design and Innovation.

We build internal analytic partnerships, strengthening their focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.

Are you excited about Data Assets and the value they brings 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 6 continents?
Do you want to be the go-to resource for data analytics in the company?

Role
Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order 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 modeling 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

All About You
Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
Financial Institution or a Payments experience a plus
Experience presenting data findings in a readable and insight driven format.

Experience building support decks.

Advanced SQL coding
Experience on Platforms/Environments: SQL Server, Microsoft BI Stack, Python
Experience in Campaign Analytics a plus
Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
Experience in building data models a plus
Experience with data visualization tools such as Tableau, Domo, PowerBI a plus
Experience with Hadoop environments, plus
Excellent p

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