MastercardAnalyst, Data Analytics
Mastercard is hiring an Analyst, Data Analytics. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Python, SQL and Power BI among its tools and skills.
- Level classes it as a mid-level role.
- Mastercard has 967 other open roles on Level.
AI in this role
Turn complex data into clear insights using SQL, Python, Power BI, and Microsoft Fabric to support business decisions.
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
Analyst, Data AnalyticsWe are looking for a highly analytical and technically capable BI/Data Analyst to join our team. You will turn complex data into clear, actionable insights that support better business decisions.This role combines business intelligence, advanced analytics and data storytelling. You will work closely with stakeholders to understand business challenges, use SQL and Python to explore and analyze data, and build scalable reporting and analytical solutions using Power BI and Microsoft Fabric.
Key Responsibilities
Analyze large and complex datasets to identify trends, drivers, anomalies and opportunities.
Use Python and SQL for data manipulation, advanced analysis, automation and analytical modelling.
Design and develop intuitive dashboards and reporting solutions using Power BI.
Work within Microsoft Fabric to access, transform, analyse and deliver data and insight.
Partner with stakeholders to translate business challenges into meaningful analytical questions, metrics and KPIs.
Conduct deep-dive and root-cause analysis to understand what is happening, why it is happening and where action should be taken.
Develop repeatable and scalable analytical solutions rather than relying on manual analysis.
Communicate complex findings through clear visualisations, data storytelling and recommendations.
Support data quality, governance, documentation and consistent reporting standards.
Requirements
Proven experience in a BI, Data Analyst or similar analytical role.
Strong Python skills for data analysis, automation and statistical modelling.
Strong SQL skills and experience working with large and complex datasets.
Hands-on experience with Microsoft Fabric and its data and analytics capabilities.
Strong experience developing dashboards and analytical solutions in Power BI.
Experience applying advanced analytical techniques such as statistical analysis, forecasting, segmentation, cohort analysis, anomaly detection or driver analysis.
Good understanding of data modelling, data warehousing and ETL processes.
Strong problem-solving skills and the ability to turn ambiguous business questions into structured analysis.
Excellent communication and data storytelling skills, with the ability to explain complex analysis to non-technical audiences.
Nice to Have
Experience with cloud platforms such as Azure.
Experience developing automated or scalable analytical solutions.
Exposure to machine learning or predictive analytics.
Degree or equivalent experience in Mathematics, Statistics, Computer Science, Data Science or another quantitative discipline.
All About You
You are naturally curious and want to understand why something is happening, not simply report that it has happened.
You enjoy working with complex data, testing hypotheses and finding patterns others might miss. You are comfortable moving between Python, SQL, Fabric and Power BI, but understand that technology is only part of the role.
Most importantly, you can turn data into insight, understanding and action.
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.
How we rate this
Analyst, Data Analytics at Mastercard rates 0 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 data analysis was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where statistical modelling 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?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Business Intelligence, Statistical Modelling, Data Visualization, and Python. 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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