Lead Data Analyst

Description

• Responsible for ensuring the Analytics maturity needed by the team to drive Adoption across e sales, e recharge, e bill pay and e-care and facilitating easy to access, digest and action upon information.
• Responsible in harvesting insightful information that will aid the team in effective growth hacking exercises
• Responsible managing operational report requests via Tableau/Safe Harbor
• Need to attend for development of Analytics at the EDGE project
• Ensure work with business/support units to identify opportunities for leveraging organizations data to drive business
• Accountable to Collect data from internal & external sources and clean and prepare data as suitable for analytical tasks
• Require defining activities, strategic direction, scope, and timelines on data science projects
• Ensure development of dashboard to cater divisional business requirements
• Need working in cross functional teams (internal & external) to develop & trial use cases
• Need to Carry out data preparation, cleansing, exploratory analysis, feature engineering at scale Responsible to provide guidance to achieve consistent commercial growth and execution excellence in the division/BU
• Need to execute campaigns with functional units and measure effectiveness of campaigns and Influence stakeholders for driving new projects and campaigns
• Require synthesizing research findings in easy to understand terms for the business
• Need to apply simple problem-solving methodologies to diagnose and solve operational and interpersonal problems
• Ensure recommends resource requirements and collaborates with relevant stakeholders
• Provide business metrics for the overall project to show improvements
• Need to implement enhancements and fixes to systems as needed
• Provides on-going tracking and monitoring of performance of decision systems and statistical models
• Responsible to conduct both quantitative and qualitative analysis
• Research on industry best practices and work with internal / external parties on RnD tasks
• Prepare roadmaps, investment papers and research on emerging technologies
• Ensure Predictive models are live and is automated within the key business processes
• Training & Certification on SQL, python OR R & other necessary tools to become a subject matter expert

Entry Requirements

• Should possess a BSc in IT/ Computer Science/ AI /Data science / statistics, software engineering, economics and business
• MBA/ MSc would be an added advantage
• Passionate about creating value through scientific methods and data analysis
• Tolerance for ambiguity and openness to feedback from design, strategy and other disciplines
• More than 6 years of working experiences Analytics