MastercardManager, Analytics & Metrics
Mastercard is hiring a Manager, Analytics & Metrics in Toronto, Canada. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Excel, Tableau and Power BI.
- Level classifies it as a mid-level role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted within the past week.
AI in this role
Conduct people analytics and generate data-driven insights to shape global talent strategy and employee experience.
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
Manager, Analytics & MetricsOverviewAt Mastercard, the People Insights Team play a crucial role in shaping our talent strategy and enhancing employee experience through data-driven insights. The People Analytics Consultant role is part of our Consulting Team within the Global People Insights Team, requiring collaboration across multiple Regions & time zones.
The ideal candidate will have experience of providing actionable insights, compelling narratives and have experience of partnership within the HR functional domain within a global or matrixed organization. This role requires a deep understanding of people analytics, data visualization, and the ability to translate complex data into clear, concise, and impactful narratives.
Role
o Analysis and Insights: Conduct data analysis to identify trends, patterns, and insights across the employee lifecycle and key HR areas, including employee listening, talent and performance, learning and development, and workforce dynamics.
o Commercial Mindset: Operates with a strong business impact mindset, demonstrating commercial acumen and the ability to translate data driven insights into strategic decisions that drive measurable value and improve organisational performance.
o Storytelling: Develops and delivers compelling, data driven narratives tailored to senior audiences (e.g., C Suite and HR Leadership), enabling informed decision making.
o Stakeholder Engagement: Proactively partners with HR Business Partners, CoE teams, and Finance to provide thought leadership on analytics initiatives, while maintaining clear communication on progress, scope, and timelines.
o Cross Functional Collaboration: Builds strong relationships across HR, Finance, and Strategy teams, working across the organisation to execute against the people analytics roadmap.
o Continuous Improvement Mindset: Stays current on industry trends and emerging themes in people analytics, identifying opportunities to introduce external perspectives, enhance analytical products, and maximise impact.
o Data Integrity & Governance: Exercises exceptional judgment when handling highly sensitive people data, partnering closely with Data Privacy and Governance teams to ensure appropriate approvals and compliance.
o Ad hoc Data Requests: While prioritising strategic initiatives, the role is also required to support multiple ad hoc data requests, balancing responsiveness with workload prioritisation and impact.
All About You
Essential
o Outcome driven; with experience providing innovative analytical solutions that have lasting impact in multiple dimensions; strategic, operational and financial
o Curious and inquisitive mindset; proactively seeks out the underlying story within data
o Understanding of the HR functional domain; either through hands on experience or external research
o Experience of relationship building and managing a group of either internal or external clients
o Proven practical experience in developing insights and narratives for an Executive level audience
o Flexible and responsible; ability to prioritize and manage multiple projects simultaneously, including adapting where required to changes in business priorities
o Comfortable with ambiguity and operating in a highly dynamic environment
o End-to-end problem-solving and communication abilities: diagnosis, data cleaning, integration and transformation, analysis, visualization, and presentation
o Ability to collaborate with peers and cross functional teams, working across multiple time zones
o Openness to feedback and strong self-awareness
o Ability to work within the confines of data governance and privacy standardsMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.
Pay Ranges
Toronto, Canada: $109,000 - $158,000 CADHow we rate this
Manager, Analytics & Metrics at Mastercard rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where people analytics was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where storytelling was part of your work. What did you do?
- Tell me about a project where stakeholder engagement was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: People Analytics, Data Visualization, Data Analysis, Storytelling, and Stakeholder Engagement. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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