Associate Product Manager/Product Analyst - Online Portal - IIM/IIT

As an Associate Product Manager/ Product Analyst, you will work closely with PM of your team, identifying potential areas of improvements for respective part of the product, making sure that your team meets business KPIs on month to month basis.

You are a data wizard who has an eye for identifying and analyzing trends in data sets. You will be part of the analytical brain-trust that influences and informs Babajob's product and engineering leadership teams. You deeply believe in Data TRUMPS Opinion and design experiments based on insights driven by data analysis.

You should be energetic and willing to learn and excel in a fast paced, cross functional environment. You are a scrappy self-starter with a demonstrated background in analytics and large datasets, experience communicating with an engineering team, and a strong acumen for consumer web products.

Responsibilities :

- Using web analytics tools such as Google Analytics and Heap, draw insights in performance of various pages across desktop and mobile web.

- Ideate new ways to improve conversion rates across our desktop and mobile channels.

- Implement and analyse A/B experiments for execution of product ideas.

- Work with product managers to ask questions of data and probe deeper with minimal guidance.

- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products.

- Understand and improve processes based on quantitative insights on value addition by them.

- Be the go to guy for product related numbers.

Qualifications :

- B.Tech/M.Tech/MBA degree or equivalent from IIT/IIMs or other similar premier institutes.

- 2-4 years of experience in an analytical role for a consumer web product company.

- Experience with SQL, statistics, and A/B experiments.

Preferred :

- Experience analyzing large data sets and distributed computing using SQL, spreadsheet software, and other quantitative and statistical modeling technologies and tools.

- Proven experience in identifying opportunities for business or product improvement, and defining and measuring the success of those initiatives.

- Ability to initiate and drive projects to completion with little guidance.

- Exceedingly strong written and verbal communication to convey analyses in an effective manner. Excellent problem-solving and analytical skills.