Assistant Manager, Analytics

At least relevant years of professional experience in implementing Analytics for business decision support. Experience in implementing statistical/machine learning models like regression (linear, non-linear, mixed models and Bayesian models), classification and unsupervised models i.e., K-Means clustering and Hierarchical clustering in solving key business problems and delivered measurable impact. Clear understanding of statistical concepts and understanding of the underlying assumptions of the models

Good hands-on experience in Python/R, SQL, visualization tools (PowerBI or Tableau), MS Excel, MS-power point (for delivering insights and results)

Understanding (not implementation) of deep learning concepts, cognitive cloud APIs from AWS/Azure, Docker and MLOPs is preferred

Experience in business analytics in pharmaceutical/CPG Company or KPO.

Ability to handle various data sources (format structured and unstructured; volume sparse and large), using data modeling to develop reporting capabilities and valuable insights across these data sources is key.

Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities

Automate data preparation via data pipelines and insights/report creation where possible

Ability to comprehend business needs, convert them into BRD & TRD (Business/Technical requirement document), develop implementation roadmap and execute on time

Effectively respond to requests for ad hoc analyses.