Senior Data Analyst (2.5 - 4 Years)-Immediate Joiners Preferred

About Airtel:

Airtel Business is India’s leading secure connectivity and technology communications solutions provider. With an exceptional network strength, we are catering our solutions to business of all sizes across India, the US, Europe, Africa, the Middle East, Asia-Pacific, and SAARC. We are proud to be the No. 1 in Connectivity, Cellular IoT, CPaaS, and among the top three Data Centers in India. Our mission is to empower businesses to accelerate their digital transformation to achieve their evolving goals.

Link: https://www.airtel.in/b2b/public-cloud

Responsibilities

· Develop an in-depth understanding of user journeys on Airtel Digital Channels 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 and identify area of opportunities with strong confidence level.

· Work cross-functionally to define problem statements, collect data, 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 Clickstream, Google analytics, Branch, MO engage etc.

Qualifications

· B.Tech/BE degree in Computer Science/related technical field or Statistics/Operations Research background.

· 3+ years of experience in core business analytics/product analytics.

· Deep understanding of SQL, Python/R. Extensive hands-on with these tools, experience of working on large datasets is a must.

· Excellent with data visualization and strong understanding of Tableau, Superset.

· Strong problem solving skills and should be able to engage senior management with data.

· Experience with data structures, ETL pipelines & feature modelling. Ability to effectively manage and communicate data mart plans to internal customers. Hands-on with Airflow.

· Effective communication skills and experience working across multiple teams will be a plus (data engineering, data analytics, product squads).