Data Scientist II

Mastercard

3.6

(14)

Lisbon, Portugal

Why you should apply for a job to Mastercard:

  • 4.8/5 in supportive management
  • 71% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.

    #22331_R-259939

    Position summary

    ssets 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
    • Adhere to hybrid work policy (Hybrid work is defined as 3 or more days per week on average working in the assigned Mastercard office)

    All About You
    • 2-4 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
    • Experience presenting data findings in a readable and insight driven format. Experience building support decks
    • Advanced SQL coding
    • Experience with data visualization tools such as Tableau, Domo, PowerBI
    • Experience with data science techniques (e.g., machine learning, predictive modeling, statistical analysis) a plus
    • Experience on Platforms/Environments: SQL Server, Microsoft BI Stack a plus
    • Experience on SQL Server Integration Services (SSIS) a plus
    • Experience in building data models a plus
    • Experience with Hadoop environments, Python, R, WPS, a plus
    • Financial Institution or a Payments experience a plus
    • Excellent problem solving, quantitative and analytical skills
    • In depth technical knowledge, drive and ability to learn new technologies
    • Strong attention to detail and quality
    • Team player, excellent communication skills
    • 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

    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

    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.

    Why you should apply for a job to Mastercard:

  • 4.8/5 in supportive management
  • 71% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.