About Us: Airtel is a leading telecom solutions provider in the country with over 350m subscribers. Our endeavour to keep building a value chain for our customers gives us various problem statements to solve for. We as an Organization strongly believe in data driven decision making and thrive on solving complex business problems with Analytics & Data Science. This role will be leading analytics for a pod. You will be expected to drive data driven decision making with senior management, own metrics for a pod. We are committed to data-driven decision-making, innovation, and solving complex problems. We are seeking an experienced Senior Product Analyst to join our team, leading analytics at the highest level within the organization, driving efficiency, and delivering impactful insights. Job Description: This position requires a candidate with a profound understanding of the telecom industry, coupled with the ability to lead high-performing teams. The ideal candidate should possess a strong analytical mindset, excel in data-driven decision-making, and thrive in solving complex problems. Key Responsibilities: 1. **Deep Understanding of Telecom Business:** - Develop and maintain an in-depth understanding of the telecom business, staying abreast of industry trends and dynamics. 2. **Team Management:** - Lead and manage high-performing teams, demonstrating the ability to identify and nurture talent within the industry. - Motivate teams to collaborate effectively and achieve common goals. 3. **Cross-Functional Alignment:** - Align teams across different verticals, such as business and marketing, towards common solutions. - Collaborate with cross-functional teams to define problem statements, build hypotheses, collect data, and develop analytics models. 4. **Urgency and Problem-Solving:** - Demonstrate a sense of urgency and the ability to dive deep into problem statements. - Lead the identification of opportunity areas with a high level of confidence. 5. **Metric Definition and Ownership:** - Set and define metrics for the business, taking end-to-end ownership of the analytics process. - Conduct A/B testing and build hypotheses to drive data-driven decision-making. 6. **Collaboration with Product and Implementation:** - Collaborate with the Product team for data tracking and implementation of tools like Clickstream, Google Analytics, Branch, and Moengage. 7. **Representation at the Highest Level:** - Represent analytics at the highest levels of the company, providing strategic insights and solutions during times of chaos. 8. **Leadership and Efficiency:** - Lead analytics for multiple lines of business. - Structure real-time conversations and forward-thinking to identify areas for driving efficiency. - Build roadmaps and drive execution of team objectives. 9. Data-Driven Decision Making: Drive data-driven decisions by setting and defining key metrics for the business and taking end-to-end ownership of data-driven insights. 10. Hypothesis Testing: Create and test hypotheses to uncover opportunities and measure their impact, all while ensuring high confidence levels in your findings. Qualifications: Minimum 10 years of experience in core analytics, with a strong background in SQL, Python, Airflow, Tableau, and other analytics tools. Data Expertise: Proficiency in working with large datasets, data structures, ETL pipelines, and feature modeling. Data Visualization: Excellent data visualization skills to effectively communicate complex insights to a broader audience. Problem Solving: Strong problem-solving skills and the ability to engage senior management with data-driven insights. Leadership: Proven ability to lead a team of analysts, fostering collaboration, and driving success. Communication: Effective communication skills, including the ability to work across multiple teams and engage with stakeholders at all levels. Forward Thinking: Ability to identify opportunities for efficiency and growth, building roadmaps and executing strategic plans.

About Us: Airtel is a leading telecom solutions provider in the country with over 350m subscribers. Our endeavour to keep building a value chain for our customers gives us various problem statements to solve for. We as an Organization strongly believe in data driven decision making and thrive on solving complex business problems with Analytics & Data Science. This role will be leading analytics for a pod. You will be expected to drive data driven decision making with senior management, own metrics for a pod. We are committed to data-driven decision-making, innovation, and solving complex problems. We are seeking an experienced Senior Product Analyst to join our team, leading analytics at the highest level within the organization, driving efficiency, and delivering impactful insights. Job Description: As Lead Product Analyst at Airtel, you will be responsible for leading analytics for multiple lines of business, driving data-driven decision-making, and structuring conversations in real-time. Your role is critical in developing a deep understanding of the telecom business, defining metrics, conducting A/B testing, and identifying opportunities with a high level of confidence. Key Responsibilities: Data-Driven Decision Making: Drive data-driven decisions by setting and defining key metrics for the business and taking end-to-end ownership of data-driven insights. Complex Problem Solving: Thrive in chaos and uncertainty, providing calm, structured problem-solving in high-pressure situations. Lead cross-functional teams to define problem statements, build hypotheses, collect data, build analytics models, and make recommendations. Analytics Roadmap: Build and execute roadmaps for analytics initiatives to drive efficiency and impactful insights. Telecom Business Expertise: Develop an in-depth understanding of the telecom industry, identifying key trends and opportunities for growth. Hypothesis Testing: Create and test hypotheses to uncover opportunities and measure their impact, all while ensuring high confidence levels in your findings. Cross-Functional Collaboration: Collaborate with product teams for data tracking and the implementation of analytics tools like Clickstream, Google Analytics, Branch, and Moengage. Qualifications: Minimum 6 years of experience in core analytics, with a strong background in SQL, Python, Airflow, Tableau, and other analytics tools. Data Expertise: Proficiency in working with large datasets, data structures, ETL pipelines, and feature modeling. Data Visualization: Excellent data visualization skills to effectively communicate complex insights to a broader audience. Problem Solving: Strong problem-solving skills and the ability to engage senior management with data-driven insights. Leadership: Proven ability to lead a team of analysts, fostering collaboration, and driving success. Communication: Effective communication skills, including the ability to work across multiple teams and engage with stakeholders at all levels. Forward Thinking: Ability to identify opportunities for efficiency and growth, building roadmaps and executing strategic plans.

At Airtel Digital, we are transforming from a telecom giant to a digital force and changing how people consume entertainment, how companies manage their assets to how cities use energy.. Today, our work goes beyond telecom -- we build products that entertain and inform, connect devices to the internet, and enable businesses to securely harness the power of their data. With a remarkable team of talent led by eminent industry leaders, our goal is to expand our people power and deliver solutions that truly enrich the lives of our customers. There could not be a better time to join us and be a part of this incredible journey… Sr. Product Analyst - Airtel <ul><li>Develop an In-depth understanding of user journeys on Airtel Digital Platforms and generate data driven insights & recommendations to help product business in meticulous decision-making.</li><li>End-to-end ownership of key metrics, work with respective product owners to understand areas we need to measure and ensure the needle is moving in the right direction.</li><li>Develop strong hypothesis, execute A/B experiments, identify area of opportunities, and is able to articulate data to a diverse set of audience.</li><li>Work cross-functionally to define problem statements, collect data, build logics to create appropriate variables to be analyzed, build analytical models and make recommendations</li><li>Identify and implement streamlined processes for data reporting, dash boarding and communication</li><li>Collaborate with Product for data tracking and implementation of tools like SQL, Python, and Tableau.</li><li>Proactively look for opportunities to increase efficiencies through automation wherever applicable and follow best practices with respect to coding standards</li><li>Demonstrate self-driven initiatives to learn new techniques.</li></ul> Key Competencies <ul><li>2+ Years of experience in core business analytics/product analytics.</li><li>Excellent understanding of SQL, Python.</li><li>Logical and Structured thinking, Business acumen and strong problem-solving skills. Should be able to engage senior management with data.</li><li>High degree of responsibility and ownership, strong multitasking, coordination and tenaciously looking for ways to get results.</li><li>Experience of working with a Fintech is preferred.</li></ul> Preferred Qualifications: Background Engineering /Statistics/Operational Research

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Product Analyst Airtel Digital Jobs

Principal Product AnalystApril 11, 2024

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