*The role is based in Gurgaon*
About Us
Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos.
Today, Circles partners with leading telco operators across 14 countries and 6 continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally.
Besides its SaaS business, Circles operates two distinct businesses:
Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers.
Jetpac, from Circles, is the coolest tech startup you will find, dedicated to making Travel super convenient and 100% hassle free. We're a bunch of rebels, renegades, and sometimes misfits, working together to change the Travel Universe. We grew 10x last year, with customers in >150 countries and availability in 10 different languages and currencies. At Jetpac, we take ownership and we lead! We are ambitious and resourceful Jetpac cadets, who would stop at nothing to get to the desired end outcome! If you think you've got the guts, the smarts, and the hustle to join us, then keep reading!
Job Overview
We are seeking an experienced Data Associate to join our dynamic Jetpac team. The ideal candidate will have 2-5 years of experience in Data extraction, Analysis and Insight generation, with good understanding of emerging AI tools. In addition, the right candidate would have the spark and the flare needed for a young startup, and a desire to learn and grow.
Key Responsibilities
Requirements
Preferred Experience
The ideal candidate will be results-oriented, detail-focused, and able to manage multiple priorities in a fast-paced environment. Person should be able to distill usable and actionable insights out of the complex data that they are analysing
What We Offer: