Qureos Mentor

Airtel Digital

<div>
 
 Airtel is a leading telecom provider with over
 
 400 million subscribers
 
 . As a
 
 data-driven organization
 
 , we process
 
 2 trillion events daily
 
 and store
 
 100 PB of data
 
 , enabling smarter business decisions. With growing data demands and evolving use cases, we need
 
 faster, scalable decision-making
 
 powered by analytics and AI.
 
 
 
 
 
 
 About the role:
 
 
 
 As a
 
 Sr
 
 .
 
 Lead Data Analyst
 
 at Airtel, you will play a pivotal role in driving data-backed decision-making by providing actionable insights across various business functions. You will work independently to analyze complex business data related to sales, revenue, customer experience, and financial operations (billing, payments, collections). You will also contribute to the development of AI-driven solutions that improve business performance and optimize processes.
 
 
 In this role, you will take ownership of your deliverables and work directly with cross-functional teams, including Engineering, Marketing, Product, and Customer Experience, to ensure the successful execution of analytics initiatives. You will also be expected to set an example for high-quality execution, share best practices, and mentor junior analysts to build a strong analytics foundation within the team.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 End-to-End Analytics Execution:
 
 Take ownership of data analysis projects, leveraging AI/ML to solve business problems and drive results in sales, billing, payments, and customer experience.
 </li>
 <li>
 
 Mentorship &amp; Best Practices:
 
 Lead by example in executing analytics tasks with high quality, sharing best practices, and mentoring junior analysts to build a strong analytics foundation.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with cross-functional teams to provide data-driven insights that align with business objectives, ensuring actionable outcomes.
 </li>
 <li>
 
 AI &amp; Data Insights:
 
 Apply machine learning models and predictive analytics to identify patterns, improve decision-making, and automate reporting.
 </li>
 <li>
 
 Problem Solving &amp; Communication:
 
 Break down complex problems into structured analysis, and communicate insights clearly to the stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 Education
 
 : Bachelor&rsquo;s degree in a related field (e.g., Engineering, Data Science, Statistics, Business Analytics)
 
 
 
 Experience:
 
 6-9 years in data analysis, with demonstrated ownership of end-to-end deliverables with clear business impact
 
 
 
 Business Knowledge:
 
 Strong understanding of business processes, including acquisition cycles, customer experience, workforce management.
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Proficiency in data analysis and visualization tools (e.g., SQL, Python, Pyspark, Tableau, Power BI, Excel)
 </li>
 <li>
 Understanding of ETL pipelines, data warehousing, and cloud-based AI analytics platforms
 </li>
 <li>
 Proficiency in A/B testing, cohort analysis, MECE methodologies, and predictive modelling
 </li>
 </ul>
 
 
 
 
 
 AI/ML Knowledge
 
 
 <ul>
 <li>
 Solid foundation in applying AI/ML techniques (Regression, Random Forest, Boosting techniques) to business data, including predictive analytics and anomaly detection.
 </li>
 <li>
 Basic experience with machine learning tools and frameworks such as Python, Scikit-Learn, or similar
 </li>
 <li>
 Familiarity with Generative AI tools and their application in business intelligence and reporting is a plus
 </li>
 <li>
 
 Mentorship &amp; Leadership:
 
 Proven ability to mentor junior analysts and foster a collaborative, learning-oriented team environment.
 </li>
 </ul>
 
 
</div>

Sr Lead Data Analyst

Join Airtel Digital and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Airtel Digital

ABOUT_COMPANY

Sr Lead Data Analyst