Responsibilities

• 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 Pharma/ CPG Company or KPO in FP&A Domain.
• 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.
• Good verbal and written communication skills
• Ownership of tasks assigned without supervisory follow-up
• Proactive planner and can work independently to manage own responsibilities