Job Description
Sharechat
Product Analyst
Full - Time
India (Hybrid or Remote)
From the humble idea of giving all regional languages a stage to successfully building India's No.1 social media platform, we've journeyed to turn ideas into reality. At ShareChat and Moj, our short video platform (https://sharechat.com/about), we have over 325 million users, 80 million creators, and over 2.5 billion shares every month. Valued at $5 billion, ours is a story of disrupting the digital narrative as we build Bharat’s content creation ecosystem.An open, honest culture and our values, such as first principles, speed, integrity, user-centricity, and ownership, drive our teams to innovate our products every day. We are on the path to establishing ShareChat as the world's largest AI-centered social media platform.
Any Degree
Freshers
1. Experience in using BI tools such as Superset, Redash, Metabase etc. would be relevant
2. Experience in Python/R etc. would be relevant
3. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
4. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
5. Technical expertise regarding data models, database design development, data mining and segmentation techniques.
1. Using SQL to run queries on analytical engine [ Google BigQuery / Databricks / Redshift / any of the prominent ones.
2. Writing scalable scripts to fetch or modify data from API endpoints.
3. You will work with large amounts of data related to user behaviour on ShareChat. You will need to see through the data and analyze it to find conclusions.
4. You may need to look for trend and patterns in data to come up with new conclusions based on the findings.
5. Data is precise. You have to make sure you are vigilant in your analysis to come to correct conclusions
Know more about us:AI @ ShareChat | AI Projects @ ShareChat
Click here to apply
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