Data Analyst

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