Our Purpose
We strive to connect and energize an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, easy, smart, and accessible. We use secure data and networks, partnerships, and passion, our innovations, and solutions help individuals, financial institutions, governments, and businesses to realize their full potential. Our decency quotient, or DQ, sets the tone of our culture and everything we do within and outside our company. We foster a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences make us a better team – one that makes better decisions, drives innovation, and yields better business results.
Title and Summary
People Reporting & Data Manager: Insights Services
About Us:
Mastercard is a global technology and payments leader dedicated to empowering businesses and economies to flourish. Our Global People Operations & Insights team is pioneering the use of data to inform strategic decisions about our most valuable resource – our talent. We are on the lookout for a visionary professional to join our Insights Services team, who can blend learning agility, HR domain knowledge, and program management skills to help shape the future of People analytics.
All About the Role:
In this role within the Insights Services team, you will juggle several projects simultaneously and be comfortable working in a dynamic, fast-paced environment. You will be responsible for bringing to light data-driven insights that enable Mastercard to make strategic decisions about our talent, harnessing your analytics skills and business acumen to highlight opportunities and measure outcomes for our leadership teams. You will take into consideration the 'bigger picture' and the broader opportunities that exist at a cross-functional and cross-Business Unit level. Your role will go beyond data analysis – you'll delve deep to understand the root challenges, apply your quantitative and qualitative expertise, and craft compelling narratives with strong storytelling that influences the Regional strategy.
You will be a crucial member of our global team, working across multiple regions and time zones. Your mission is to drive impactful change within the company by doing the following:
Role:
• Opportunity Hunter: Use your sharp sense for growth and improvement to proactively identify opportunities and transform them into data-driven initiatives that deliver tangible value.
• Innovation Catalyst: Solve complex business puzzles by intertwining data threads and revealing valuable insights, leading innovation at every turn.
• Narrative Weaver: Create compelling stories through data analysis and cutting-edge visualizations that enable decision-makers to convert complex data into actionable insights.
• Business Performance Maestro: Highlight your skill in associating analytics with business outcomes and performance metrics, showing how your insights translate into better financial results and real-world success stories.
• Global Visionary: Utilize the landscape of the global team you form part of; be proactive in proposing ideas on how to create scalable solutions, contributing to our international success.
• Consulting Dynamo: Apply your consulting expertise to guide stakeholders towards optimal decisions, using data as the primary tool for transformation.
• KPI Maven: Shape the future with actionable KPIs that guide our leadership teams towards their goals.
All About You:
Essential
• Demonstrated experience achieving measurable business outcomes through surfacing insights & opportunities related to organizational effectiveness.
• A record of producing innovative analytical solutions that drive strategic, operational, and financial impact.
• Strong relationship-building skills, particularly within large-scale organizations, through consulting services to internal or external client groups.
• The ability to convert analysis results into data-driven insights that connect with diverse audiences.
• Structured thinking and a proactive approach to implement processes and structure where needed.
• Collaborative skills with peers and cross-functional teams across multiple time zones.
• Creativity and adaptability to overcome hurdles and solve complex problems.
• Flexibility and responsiveness to adapt to rapidly changing business priorities.
• Receptiveness to feedback and strong self-awareness.
• A commitment to working within data governance and privacy standards.
• Comprehensive problem-solving and communication skills, including diagnosis, data cleaning, integration and transformation, analysis, visualization, and presentation.
Desirable:
Experience with querying databases (SQL preferred)
Experience in relationship-building across large-scale organizations
Experience managing and analyzing structured and unstructured data using tools like SQL, R, or Python
Experience with BI tools (Tableau, Power BI, and Domo preferred)
Familiarity with ETL tool capabilities and utility (e.g., Alteryx, Informatica)
Join us at Mastercard and be a vibrant part of a team steering data-driven insights that shape our talent strategies and the future of our organization. This role isn't just about crunching numbers; it's about being a strategic partner who proactively uses data to solve problems, and create a positive impact on the organization's growth and performance. You'll be at the forefront of shaping Mastercard's future with your unique blend of analytical prowess, commercial acumen, and global perspective.
Corporate Security Responsibility
Every activity involving access to Mastercard assets, information, and networks poses an inherent risk to the organization, so it is expected that everyone working for, or on behalf of, Mastercard is responsible for information security and must:
• Comply with Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected violation of information security or breach, and
• Complete all periodic mandatory security trainings as per Mastercard's guidelines.