Hotstar Recruitment 2022 | Data Analyst | BE/ B.Tech/ ME/ M.Tech – CSE/ IT | Mumbai
Company: Hotstar Tech
Hotstar Recruitment 2022: Hotstar is India’s largest premium streaming platform with more than 100,000 hours of drama and movies in 18 languages, and coverage of every major global sporting event. Launched in early 2015, it is one of India’s most downloaded apps and has attracted more than 300 million users on the back of a highly evolved video streaming technology and high attention to quality of experience across devices and platforms.
Hotstar has appropriated top spots on the Google Play Store as well as the Apple App Store, consistently named among the most popular apps on both platforms since its launch.
Company Website: www.tech.hotstar.com
Positions: Data Analyst
Salary: Best In Industry
Job Location: Mumbai
Experience: 1-3 years
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Eligibility Criteria for Hotstar Recruitment 2022:
- Graduate/Post Graduate degree in Computer Science or Engineering.
- 1-3 years of Hands on experience with SQL/Hive querying.
- Should be able to write complex queries independently.
- Minimum 1 year of experience in big data frameworks like Hadoop/Spark/Impala/Qubole.
- Basic knowledge of programming languages like R, Python, Scala etc.
- Ability to work independently and take ownership of things.
- Analytical mindset and strong attention to detail.
- Good verbal & written communication skills for coordinating across teams.
Job Description:
We are looking for a Data Analyst to enable our Ads team to oversee ads performance metrics analysis, provide insight into advertisers and review advertiser goals, with a strong focus on supporting automation, process design, and resource planning.
Job Responsibilities:
- Developing and executing processes for monitoring data sanity, check for data availability.
- Understanding the business drivers and building insights through data.
- Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs.
- Ensure continuous data accuracy and recognize data discrepancies in systems that require immediate attention/escalation.
- Become expert in the company’s data warehouse and other data storage tools, understanding the definition, context, and proper use of all attributes and metrics.
- Creating dashboards based on business requirements.
Our Values:
- We are customer obsessed.
- We are audacious in vision and action.
- We encourage honesty and open dialogue.
- We respect everyone and every point of view.
- We make objective and data-driven decisions.
- We believe trust and accountability go hand-in-hand.
- We invest in each other’s growth.
- We bring our A-game and nothing else.
- We take charge and get it done.