Product Analyst

About Us:

At Vahan we are building the first AI powered recruitment marketplace for Indias 300 million strong Blue Collar workforce opening doors to economic opportunities and brighter Indias largest recruitment platform Vahan is supported by marquee investors like Khosla Ventures Y Combinator Airtel Vijay Shekhar Sharma (CEO Paytm) and leading executives from Google and Facebook.

Our customers include names like Swiggy Zomato Rapido Zepto and many more. We leverage cutting-edge technology and AI to recruit for the workforces of some of the most recognized companies in the country.

Our vision is ambitious: to become the go-to platform for blue-collar professionals worldwide empowering them with not just earning opportunities but also the tools benefits and support they need to thrive. We aim to impact over a billion lives worldwide creating a future where everyone has access to economic prosperity.

If our vision excites you Vahan might just be your next adventure. Were on the hunt for driven individuals who love tackling big challenges. If this sounds like your kind of journey dive into the details and see where you can make your mark.

Why youll LOVE Vahan:

• Were a small team that enjoys working hard getting a lot done and having fun.

• Not to mention that youll work on a product that is making a profoundly positive impact on peoples lives.

• We also provide an outstanding training ground for aspiring entrepreneurs and India-first product builders.

What we seek:

We are seeking an experienced Product Analyst to join our dynamic team. The successful candidate will work closely with our product managers and head of product to gather data derive key insights and drive product strategy and key decisions. The Product Analyst will play a crucial role in analyzing feature performance post-launch and suggesting improvements through data-driven recommendations. Additionally this role involves automating product dashboards using SQL and MoEngage or similar analytics tools.

Whats your mission:

• Gather and analyze data to provide insights on product strategy and feature building decisions.

• Collaborate closely with product managers to identify problems opportunities and feature requirements.

• Collaborate and support the product team and head of product in building successful products by delivering key insights during product discovery and post deployment.

• Track and improve product metrics including acquisition activation retention revenue and referral.

• Translating broad questions into plans for research and discovery perform proactive data exploration and communicate the results in a compelling way

• Identifying and quantitatively sizing product opportunities based on your insights to inform our roadmap

• Own experimentation and design tests including A/B testing setup execution and analysis.

• Co-own our instrumentation and architecture components with engineering.

• Partnering with the broader X-functional team to understand key business health questions and build a dashboard clusters that will become the go-to resource for common themes and reduce time to insight

• Ensure 100% integrity when reporting numbers and metrics.

What you bring:

• Proven experience with 2 years of work in Product Analysis Data analysis business intelligence or similar role.

• 1 years of experience with manipulating large data sets using SQL/Python/R/SAS

• Strong Proficiency in SQL and Excel

• Experience with analytics tool such as MoEngage Amplitude Mixpanel etc.

• Strong analytical skills with the ability to derive actionable insights from complex datasets.

• High degree of customer centricity and problem oriented mindset

• Excellent communication skills with the ability to convey insights and recommendations effectively.

• Ability to apply a structured and detail oriented approach to problem-solving while working under pressure and deliver outcomes

• Ability to work collaboratively in a fast-paced cross-functional team environment.

• Strong attention to detail and commitment to data integrity.

• A Bachelors degree in a relevant field (e.g. Computer Science Business Economics Statistics) preferred.