Job
Description
Role Work closely with global regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support analytics and reporting needs across products, markets and services. Translate business requirements into tangible solution specifications and high quality, on time deliverables Create repeatable processes to support development of modeling and reporting Effectively use tools to manipulate large-scale databases, synthesizing data insights. 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 All About You 5-6 years in Data Science Analytics, with a focus on execution, and solution development and measurement from the ground up. 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 coding Experience on Platforms/Environments: SQL Server, Microsoft BI Stack Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage Experience in building data models a plus Experience with data visualization tools such as Tableau, Domo, PowerBI a plus Experience with Hadoop environments, Python, R, WPS, a plus 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
