Senior Data Analyst

Role & Responsibilities Architect, develop, and maintain data engineering, advanced reporting, and data visualization solutions to support analytics and reporting needs across products, markets, and services. • Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases and actionable insights. • Leverage large-scale databases and analytical tools to manipulate data and synthesize insights. • Execute cross-functional projects using advanced modeling and analytical techniques to uncover insights and drive strategic business decisions. • Build, develop, and maintain data models, reporting systems, dashboards, and performance metrics that support key business outcomes. • Provide insights, assessments, and recommendations through Tableau, Power BI, Excel, and PowerPoint. • Apply data quality controls, validation, and cleansing processes to ensure the accuracy and reliability of data assets. • Communicate analytical findings and business impacts to stakeholders across leadership, technology, sales, marketing, and product teams. • Capture and share intellectual capital, tools, methodologies, and best practices across projects to drive organizational learning. • Lead, mentor, and guide junior team members to support their growth and development. • Recruit, train, develop, and supervise data engineering and analyst-level talent. • Demonstrate passion, curiosity, and expertise to solve complex business challenges and deliver measurable impact. All About You • Strong experience in data management, data mining, data analytics, reporting, data product development, and quantitative analysis. • Expertise in building semantic models and self-service BI and analytics solutions. • Advanced SQL skills with experience optimizing queries for large-scale and big data environments. • Proficiency with BI and visualization platforms including Tableau, Power BI, QlikView. • Hands-on experience with Databricks, Microsoft Fabric, Cloudera Hadoop, SQL Server, and big data technology stacks. • Experience working with cloud platforms such as AWS and Azure. • Programming experience with Python, PySpark, Hive, and R. • Ability to present data findings in a clear, insight-driven format and develop executive-ready presentations and support decks. • Experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS) is a plus. • Strong problem-solving, quantitative, and analytical skills. • Deep technical aptitude with a strong ability to learn and adopt new technologies. • Exceptional attention to detail and commitment to data quality. • Effective communicator with strong stakeholder management and requirements gathering skills. • Collaborative team player who can work effectively across functions and levels of management. • Ability to exercise sound judgment, navigate ambiguity, and perform in fast-paced team environments. • Financial services or payments industry experience is a plus. Education • Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics

Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. • Are you excited about Data Assets and the value they bring to an organization? • Are you an evangelist for data driven decision making? • Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? • Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Architect, develop, and maintain data engineering, advanced reporting, and data visualization solutions to support analytics and reporting needs across products, markets, and services. • Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases and actionable insights. • Leverage large-scale databases and analytical tools to manipulate data and synthesize insights. • Execute cross-functional projects using advanced modeling and analytical techniques to uncover insights and drive strategic business decisions. • Build, develop, and maintain data models, reporting systems, dashboards, and performance metrics that support key business outcomes. • Provide insights, assessments, and recommendations through Tableau, Power BI, Excel, and PowerPoint. • Apply data quality controls, validation, and cleansing processes to ensure the accuracy and reliability of data assets. • Communicate analytical findings and business impacts to stakeholders across leadership, technology, sales, marketing, and product teams. • Capture and share intellectual capital, tools, methodologies, and best practices across projects to drive organizational learning. • Lead, mentor, and guide junior team members to support their growth and development. • Recruit, train, develop, and supervise data engineering and analyst-level talent. • Demonstrate passion, curiosity, and expertise to solve complex business challenges and deliver measurable impact. All About You • Strong experience in data management, data mining, data analytics, reporting, data product development, and quantitative analysis. • Expertise in building semantic models and self-service BI and analytics solutions. • Advanced SQL skills with experience optimizing queries for large-scale and big data environments. • Proficiency with BI and visualization platforms including Tableau, Power BI, QlikView. • Hands-on experience with Databricks, Microsoft Fabric, Cloudera Hadoop, SQL Server, and big data technology stacks. • Experience working with cloud platforms such as AWS and Azure. • Programming experience with Python, PySpark, Hive, and R. • Ability to present data findings in a clear, insight-driven format and develop executive-ready presentations and support decks. • Experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS) is a plus. • Strong problem-solving, quantitative, and analytical skills. • Deep technical aptitude with a strong ability to learn and adopt new technologies. • Exceptional attention to detail and commitment to data quality. • Effective communicator with strong stakeholder management and requirements gathering skills. • Collaborative team player who can work effectively across functions and levels of management. • Ability to exercise sound judgment, navigate ambiguity, and perform in fast-paced team environments. • Financial services or payments industry experience is a plus.