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Lead Data Analyst
Location
HO/ KIT Building - 5th Floor
Closing Date
06/30/2025
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