Data Analyst

Job description Responsibilities : Providing Analytical & Decision Support across GS through advanced analytics (from sourcing to staging data, generating insights to exposing them for consumption via reporting platforms/strategy implementation) Enabling business user self-service through creation of MIS capabilities Systematically identify out of pattern activities in a timely manner and address information gaps by providing insightful analytics Working independently assuming responsibility for the development, validation and implementation of projects Participate on global teams evaluating processes and making suggestions for process and system improvements Interacting with all levels of the organization across multiple time zones. Critical Factors to Success: Ensure timely and accurate MIS based on customer requirements Centrally manage MIS and key operational metrics and address functional data needs across operations and support teams Provide analytical and decision support framework and address information gaps through insightful analytics and developing lead indicators Build collaborative relationships across GS groups and participate on global teams evaluating processes and making suggestions for process and system improvements Put enterprise thinking first, connect the roles agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders Past Experience: Preferably a minimum 2 years experience with at least 1 year in Quantitative Business Analysis/Data Science with experience in handling large data sets Academic Background: Bachelor's Degree or equivalent, preferably in a quantitative field Post-graduate degree in a quantitative field will be an added advantage Functional Skills/Capabilities: Must possess strong quantitative and analytical skills and be a conceptual and innovative thinker Project management skills and ability to identify and translate business information needs into insights and information cubes for ease of consumption in reporting and analytics Proven thought leadership, strong communication, relationship management skills Ability to work on multiple projects simultaneously, flexibility and adaptability to work within tight deadlines and changing priorities Data presentation & visualization skills Technical Skills/Capabilities: Excellent programming skills on Hive/SQL/Big Query is essential with good understanding of Big Data ecosystems Exposure to visualization using Business Intelligence software like Tableau or Qlikview will be an added advantage Knowledge of Platforms: Advanced knowledge of Microsoft Excel and PowerPoint, Word, Access and Project