Lead Data Analyst

Our client, a leading telecommunications service provider in Sri Lanka, is seeking to hire an experienced Lead Data Analyst.

The Job

• Responsible for ensuring the Analytics maturity needed by the team to drive adoption across e-sales, e-recharge, e-bill pay, and e-care, facilitating easy access to, digestion of, and action upon information.
• Harvest insightful information to aid the team in effective growth hacking exercises.
• Manage operational report requests via Tableau/Safe Harbor.
• Attend to the development of Analytics at the EDGE project.
• Work with business/support units to identify opportunities for leveraging organizational data to drive business.
• Accountable for collecting data from internal and external sources, cleaning, and preparing data for analytical tasks.
• Define activities, strategic direction, scope, and timelines on data science projects.
• Develop dashboards to cater to divisional business requirements.
• Collaborate with cross-functional teams (internal & external) to develop and trial use cases.
• Carry out data preparation, cleansing, exploratory analysis, and feature engineering at scale.
• Provide guidance to achieve consistent commercial growth and execution excellence in the division/BU.
• Execute campaigns with functional units, measure the effectiveness of campaigns, and influence stakeholders to drive new projects and campaigns.
• Synthesize research findings in easy-to-understand terms for the business.
• Apply simple problem-solving methodologies to diagnose and solve operational and interpersonal problems.
• Recommend resource requirements and collaborate with relevant stakeholders.
• Provide business metrics for the overall project to demonstrate improvements.
• Implement enhancements and fixes to systems as needed.
• Conduct ongoing tracking and monitoring of the performance of decision systems and statistical models.
• Conduct both quantitative and qualitative analysis.
• Research industry best practices and work with internal/external parties on R&D tasks.
• Prepare roadmaps, investment papers, and research on emerging technologies.
• Ensure predictive models are live and automated within key business processes.

Internal

• Training & Certification in SQL, Python or R, and other necessary tools to become a subject matter expert.

The Person

• Possess a BSc in IT, Computer Science, AI, Data Science, Statistics, Software Engineering, Economics, or Business.
• An 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 experience in Analytics.