Product Analyst

4 days ago

gurgaon, India Airtel Digital Full time
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…
Product Analyst - Airtel
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.
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.
Develop strong hypothesis, execute A/B experiments, identify area of opportunities, and is able to articulate data to a diverse set of audience.
Work cross-functionally to define problem statements, collect data, build logics to create appropriate variables to be analyzed, build analytical models and make recommendations
Identify and implement streamlined processes for data reporting, dash boarding and communication
Collaborate with Product for data tracking and implementation of tools like SQL, Python, and Tableau.
Proactively look for opportunities to increase efficiencies through automation wherever applicable and follow best practices with respect to coding standards
Demonstrate self-driven initiatives to learn new techniques.
Key Competencies
2+ Years of experience in core business analytics/product analytics.
Excellent understanding of SQL, Python.
Logical and Structured thinking, Business acumen and strong problem-solving skills. Should be able to engage senior management with data.
High degree of responsibility and ownership, strong multitasking, coordination and tenaciously looking for ways to get results.
Experience of working with a Fintech is preferred.
Preferred Qualifications:
Background Engineering /Statistics/Operational Research

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