> Markdown version of [/jobs/ext/3609580-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3609580-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Global Payments Inc. - **Location:** Cincinnati, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Databases, Data Visualization, Data Warehousing, Database Queries, Distributed Data Store, Python (Programming Language), Machine Learning, Power BI, Tableau (Software), Data Analytics - **Published:** October 7, 2026 - **Apply:** https://diversityjobs.com/career/18557473/Senior-Data-Analyst-Ohio-Cincinnati ## About the Role * 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. ## Description 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.