Job description

Job Description Ready to take your career global? Make your mark at one of the biggest names in payments. We’re looking for a Senior Data Analyst to join our ever-evolving Data & Analytics team and turn complex data into clear insights that improve business decisions. What you’ll own Collect, clean and organize data from multiple sources to ensure it is accurate and ready for analysis. Analyze large datasets to identify trends, patterns, correlations and outliers that inform business decisions. Build clear dashboards, reports and visualizations that make complex findings easy to understand. Present actionable insights to executives and stakeholders, translating technical analysis into a compelling business story. Use statistical and exploratory analysis to answer business questions and recommend improvements. What you’ll bring Strong SQL skills and experience working with databases and large datasets. Proficiency with a data-visualization tool such as Tableau or Power BI. Ability to analyze data, solve problems and draw accurate, meaningful conclusions. Excellent communication and data-storytelling skills for technical and nontechnical audiences. Strong attention to detail, critical thinking and commitment to data quality. It’s a bonus if you have Experience with Python or R for advanced analysis and automation. Knowledge of statistical modeling, forecasting, experimental design or machine learning. Experience with data warehousing, database architecture or distributed data systems. About the team Our inclusive and global teams win together every day. You’ll work in a collaborative environment where data, curiosity and clear communication help shape the future of payments. What makes a Globalpayer? Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative, empower each other to make decisions and bring passion to delivering excellence. Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global. EEOC Statement Global Payments is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here . If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired. Washington Candidates: Click here for information on the Fair Chance Act.

Requirements

Must-haves

Ready to take your career global?
Make your mark at one of the biggest names in payments. We’re looking for a Senior Data Analyst to join our ever-evolving Data & Analytics team and turn complex data into clear insights that improve business decisions.
What you’ll own
Collect, clean and organize data from multiple sources to ensure it is accurate and ready for analysis.
Analyze large datasets to identify trends, patterns, correlations and outliers that inform business decisions.
Build clear dashboards, reports and visualizations that make complex findings easy to understand.
Present actionable insights to executives and stakeholders, translating technical analysis into a compelling business story.
Use statistical and exploratory analysis to answer business questions and recommend improvements.
What you’ll bring
Strong SQL skills and experience working with databases and large datasets.
Proficiency with a data-visualization tool such as Tableau or Power BI.
Ability to analyze data, solve problems and draw accurate, meaningful conclusions.
Excellent communication and data-storytelling skills for technical and nontechnical audiences.
Strong attention to detail, critical thinking and commitment to data quality.
Experience with Python or R for advanced analysis and automation.
Knowledge of statistical modeling, forecasting, experimental design or machine learning.
Experience with data warehousing, database architecture or distributed data systems.
About the team
Our inclusive and global teams win together every day. You’ll work in a collaborative environment where data, curiosity and clear communication help shape the future of payments.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative, empower each other to make decisions and bring passion to delivering excellence.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
EEOC Statement

Nice-to-haves

It’s a bonus if you have

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonmachine learning

Platform: workday
Effort: long