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JOB SUMMARY:
As a Manager Analytics at JioHotstar, you will play a pivotal role in driving data-led product decisions across one of India's largest OTT platforms. You'll be part of the central analytics team, working closely with product, engineering, and data science to optimize platform performance, working on personalization and recommendation systems
ABOUT THE TEAM:
At JioHotstar, the team has developed one of India's largest, highly scalable platforms in the OTT landscape. This team is part of the central analytics org, focused on platform, particularly video player/ watch experience/ consumption along with personalization model analytics.
REPORTING TO: Manager, Product Analytics
KEY RESPONSIBILTIES:
SKILLS & ATTRIBUTES FOR SUCCESS:
PREFERRED EDUCATION & EXPERIENCE:
About Us
Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.
Job ID: 149057871
Skills:
causal inference , Sql, Python, MMM
Skills:
Power Bi, Qlikview, Python, Data Visualization, Spotfire, Tableau, Business intelligence, MS SQL Database
Skills:
data engineering , Tableau, Sql, ELT, Etl, Python, Data Modeling, R, Mode, Airflow
Skills:
data engineering , complex event processing , Machine Learning Algorithms, SAS, MATLAB, Sql, Data Science, Big Data Technologies, Data Warehousing, Python, Data storage processing and data asset management, Real-time Analytics, Cloud-based data platforms and architectures, Data ingestion acquisition and data pipeline development, R, Relational Databases, Data Visualization tools and frameworks, Analytics tools
Skills:
Advanced Sql
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