Disney+ Hotstar hiring Graduate/Post Graduate degree holders

2022-06-01 Click here to join our placement whatsapp group

ABOUT THE TEAM

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.

YOUR KEY 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.

WHAT TO BRING

    • 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.

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.

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