3 Days Left: Senior. Data

Company DescriptionVisa is a world leader in payments and technology with over 259 billion payments transactions flowing safely between consumers merchants financial institutions and government entities in more than 200 countries and territories each year Our mission is to connect the world through the most innovative convenient reliable and secure payments network enabling individuals businesses and economies to thrive while driven by a common purpose - to uplift everyone everywhere by being the best way to pay and be paid Make an impact with a purpose-driven industry leader Join us today and experience Life at Visa As part of the Commercial and Money Movement Client Services organization the Sr Business Optimization Analyst will help to deliver this vision to our clients across the Asia Pacific region In this role you will use strong analytical skills contextual business sense and a creative flair to solve real world business challenges for Visa clients and ecosystem partners This role derives analytic insights on client performance and helps to deliver findings from those analyses to external and internal stakeholders Prior to completing an analysis this role will formulate and source the necessary datasets from internal tools and platforms rendering insights in compelling presentations and visualizations Specific activities may include Create and present analytic deliverables to external Visa clients colleagues in the analytics team and other internal and external stakeholders with varying degrees of analytical and technical expertise Get to an understanding of root problems define analytical objectives and formalize data requirements for various types of analyses Combine and analyze disparate data sources and derive insights in a Big Data environment Independently perform analysis to render robust thoughtful results Proactively facilitate the overall analytic delivery strategy for the organization Develop and execute against a strategy to achieve regional authorization improvement goals Compare client performance against industry best practices with a shrewd eye toward identifying performance and or profitability improvement opportunity Develop presentations of complex data and content for clients in an accurate understandable and engaging manner Manage multiple project deliverables with varying timelines across different stakeholders Maintain ownership over ETL processes that convert Big Data sources into easily accessible reporting tools enabling analytical efforts across CMS and its stakeholders Evolve datasets and other analytical tools to continuously provide value in a way that aligns with the changing requirements of the business Translate technical requirements from Visa business enhancements into tangible enhancements with our ETL processes Evaluate new and disparate Money Movement channels and develop a coherent and consistent support strategy implementing a strategy to provide all partners with a consistent level of analytical support as CMS Payment Ops expands its remit Identify opportunities to support incremental CMS products This is a hybrid position Expectation of days in office will be confirmed by your Hiring Manager Qualifications A minimum of 12 years experience working in data analysis and or insight delivery with a proven record of creating business value from data Bachelor s degree High level of proficiency manipulating data from a variety of sources - Big data skills Hadoop Hive Spark and or SQL skills required Experience visualizing data with tools like Tableau advanced Tableau skills are highly desirable Strong verbal written presentation and interpersonal skills Demonstrated ability to articulate complex data into business language Must be proficient in all MS Office applications with advanced Excel spreadsheet skills Additional InformationVisa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law