Senior Data Scientist

About the job

Overview 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 brings 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? Role & Responsibilities • Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data 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. Effectively use tools to manipulate large-scale databases, synthesizing data insights. • Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. • Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions. • Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects. • Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. • Apply quality control, data validation, and cleansing processes to new and existing data sources. • Lead, mentor and guide more junior team members. • Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. All About You • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. • Financial Institution or a Payments experience a plus. • Experience presenting data findings in a readable and insight driven format. Experience building support decks. • Advanced SQL skills, ability to write optimized queries for large data sets (Big data). • Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack. • Experience with data visualization tools such as Looker, Tableau, PowerBI. • Experience with Python, R, a plus. • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage. • Excellent problem solving, quantitative and analytical skills. • In depth technical knowledge, drive and ability to learn new technologies. • Strong attention to detail and quality. • Team player, excellent communication skills. • Must be able to interact with management, internal stakeholders and collect requirements. • Must be able to perform in a team, use judgment and operate under ambiguity. Education • Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred. Additional Competencies • Excellent English, quantitative, technical, and communication (oral/written) skills. • Analytical/Problem Solving. • Strong attention to detail and quality. • Creativity/Innovation. • Self-motivated, operates with a sense of urgency. • Project Management/Risk Mitigation. • Able to prioritize and perform multiple tasks simultaneously.

Requirements

• SQL
• Data Analytics
• Data Visualization
• Tableau
• PowerBI
• Python
• R

Qualifications

• Bachelor’s or Master’s Degree in Computer Science
• Information Technology
• Engineering
• Mathematics
• Statistics

Preferred Technologies

• SQL
• Data Analytics
• Data Visualization
• Tableau
• PowerBI
• Python
• R

About the company

Mastercard's Data & Analytics team builds internal analytic partnerships, focusing on business health, portfolio revenue optimization, initiative tracking, and new product development.