Strategic Projects Manager
Star tv
Mumbai IN
3d ago
  • Work closely with the various business teams and detect emerging consumer and viewer trends using the resources at hand and provide them actionable recommendations based on the insights.
  • Build and drive adoption of the viewership data products across the organization
  • Actionable insights generated
  • Adoption of the data products
  • MBA from premier B-School
  • 3-6 years of analytical experience is ideal
  • Strong Analytical skills with ability to analyze and disseminate significant amount of information
  • Basic knowledge of SQL is desirable
  • Ability to deliver on strict timelines
  • Strong writing and presentation skills
  • Attention to detail and accuracy
  • Independent thinker and self-driven
  • Excellent communication & presentation skills
  • Proactive & result oriented
  • Quick learning ability and a good team player
  • Positive attitude and great at time and task management skill
  • Mumbai

    We are looking for talented individuals to lead our growing Data Sciences team, which is developing a fundamentally new approach to how business generates value from data.

    This team will develop new methodologies and tools to enable advanced modelling and statistical analysis against petabyte-

    scale data sets. Our Data Scientists create new sources of data-driven innovation and value for our business. They help our business partners respond to their top-

    priority business goals by introducing new ways to tap their exploding data assets, using statistical methods, machine learning, and predictive models.

    Star Data Scientists develop new practices and methodologies for working with the latest data technologies, often working closely with leading academics and industry experts.

    They also work with industry-leading engineers to create new tools and features that support sophisticated analytics within the database.

    Data scientist at Star would bring a deep focus and passion for a particular specialization within analytics (e.g., text or sentiment analytics, network / graph analytics, time series modelling, etc.

    Ultimately, they would want to build their career upon developing new methodologies and tools to enable advanced modelling and statistical analysis against big data sets.

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