People Analytics Manager

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.
Job Title
People Analytics Manager
Overview
Will be a member of the Global People Data & Analytics team which operates across multiple Regions & time zones.
Role
- Partners closely with business leaders to provide strategic decision support through data and analytics
- Applies knowledge in quantitative and qualitative analysis as well as data visualization to surface clear and compelling narratives that inform the strategies of the Business Unit/Region
- Influences the development of actionable KPIs that drive business decisions and inform executive management and other key constituents
- Provides thought leadership to convert inputs from stakeholder teams into creative, scalable solutions
- Sees beyond requestors' asks to understand the root query or challenge for which data and analytics are being sought
- Defines, validates, and enforces HR data integrity in collaboration with HR systems teams
- Provides program management support for performance management, talent reviews, and other key activities as warranted
- Collaborates with data engineering and visualization resources to access and manipulate data, explain data requirements, and surface findings via cutting-edge visualizations and dashboards
- Demonstrates exceptional judgment and discretion when dealing with highly sensitive people data
All About You
- Experience providing consultancy to a group of stakeholders, typically senior leadership in an organization
- Experience providing innovative analytical solutions that have lasting impact in multiple dimensions; strategic, operational and financial
- Ability to translate results of analyses into data-driven insights to ensure key messages resonate with the target audience
- Ability to collaborate with peers and cross functional teams, working across multiple time zones
- Creative and nimble with ability to overcome obstacles to solve hard problems
- Flexible and responsive, with ability to adapt to rapid change in direction or business priority
- Openness to feedback and strong self-awareness
- Ability to work within the confines of data governance and privacy standards
- End-to-end problem-solving and communication abilities: diagnosis, data cleaning, integration and transformation, analysis, visualization, and presentation
Desirable
- Experience managing and analyzing structured and unstructured data using tools such as SQL, R, or Python
- Familiarity with ETL tool capabilities and utility (e.g., Alteryx, Informatica)
- Experience in HR data (Workday preferred)
- Experience in BI tools (Tableau, Power BI, and Domo preferred)
- Experience with Agile/Scrum environment preferred
- Possesses a commensurate level of experience in relationship building across large scale organizations
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.

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