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Senior Manager - Business Analytics

Dream Sports

FulltimeOfficeWith Experience

Mumbai

Salary: None

πŸ₯… sports

DS/ML/AI

Note: This job has expired and is no longer accepting applications.

**Technology @Dream11:**Technology is at the core of everything we do. Our technology team helps us deliver a mobile-first experience across platforms (Android & iOS) while managing over 450 million rpm (requests per minute) at peak with a user concurrency of over 15 million.
We have over 190+ micro-services written in Java and backed by a Vert.x framework. These work with isolated product features with discrete architectures to cater to the respective use cases.
We work with terabytes of data, the infrastructure for which is built on top of Kafka, Redshift, Spark, Druid, etc. and it powers a number of use cases like Machine Learning and Predictive Analytics. Our tech stack is hosted on AWS, with distributed systems like Cassandra, Aerospike, Akka, Voltdb, Ignite, etc. Your Role:

  • Implementing and guiding the team in solving business problems through structured analytical solutions through various techniques (modelling, heuristic, business rules, GenAI. etc.)
  • Defining and improving business health metrics through influencing product roadmaps and collaboration
  • Demonstrating high degree of bias to action by converting preliminary analysis into impactful updates with structured collaboration
  • Harnessing user feedback from various channels to drive meaningful product enhancements
  • Ensuring transparent communication by openly sharing impediments, issues, project plans, status, and delays with all stakeholders
  • Assisting in internal and external branding/growth by participating in hiring, writing blogs, etc. & driving knowledge dissemination across teams

Qualifiers:

  • 6+ years of relevant professional experience in the analytics domain
  • High proficiency in statistical and analytical programming (R / Python / PySpark) and other tools (Looker / Tableau / Power BI / Omniture/ Amplitude etc.)
  • Proficiency in product experimentation (A/B, A/A, DOE, Multivariate)
  • Experience in Machine Learning

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