Data Analyst

  Lead Data Analyst

The Job

• Ensure the Analytics maturity required for the team to support adoption across e-sales, e-recharge, e-bill pay, and e-care, enabling easy access to and action upon information.
• Harvest insightful data to assist in growth hacking strategies.
• Manage operational reporting requests using Tableau or Safe Harbor.
• Contribute to the development of the EDGE Analytics project.
• Identify opportunities to leverage organizational data for business growth in collaboration with business/support units.
• Collect, clean, and prepare data from internal and external sources for analytical tasks.
• Define activities, strategies, and timelines for data science projects.
• Develop dashboards that meet divisional business requirements.
• Collaborate with internal and external teams to develop and trial use cases.
• Conduct data preparation, cleaning, exploratory analysis, and feature engineering.
• Provide guidance for consistent growth and project execution excellence.
• Execute campaigns, evaluate their effectiveness, and drive new initiatives.
• Translate research findings into simple terms for business understanding.
• Solve operational and interpersonal issues with simple problem-solving techniques.
• Recommend resources and collaborate with stakeholders to optimize project outcomes.
• Provide business metrics to demonstrate project improvements.
• Implement system enhancements and fixes as needed.
• Track and monitor decision systems and statistical models for ongoing performance.
• Perform both quantitative and qualitative analysis.
• Research industry best practices and collaborate on R&D tasks.
• Prepare roadmaps, investment papers, and research reports on emerging technologies.
• Ensure predictive models are implemented and automated in key business processes.

Internal Development:

• Receive training and certification in SQL, Python, R, or other relevant tools to become a subject matter expert.

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The Candidate Profile:

• Holds a BSc in IT, Computer Science, AI, Data Science, Statistics, Software Engineering, Economics, or Business.
• An MBA/MSc is an added advantage.
• Passionate about generating value through scientific methods and data analysis.
• Open to ambiguity and feedback from diverse disciplines such as design and strategy.
• Possesses over 6 years of experience in Analytics.

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