Manager - Business Analytics

4 days ago

Mumbai, Maharashtra, India Piramal Full time ₹ 9,00,000 - ₹ 12,00,000 per year


Business: Piramal Critical Care

Department: Information Technology

Location: Kurla

Travel: Low

Job Overview

This position is responsible for building and implementing data solutions to drive the streamlining of analytics reports and next generation predictive models leveraging traditional and non-traditional data. Must have advanced Python and Excel experience.
 



Key Stakeholders: Internal

Sales, Operations, Finance & Supply Chain Teams    
 


Key Stakeholders: External 

Vendors

Reporting Structure

Chief Manager – IT Business Partner

Qualification & Experience
  • Master's in Statistics, Information Systems, Computer Sciences, Mathematics, Operational Research or any quantitative domain with MBA degree preferred, Engineering Pass out.
  • Analytics Tools – Python, SQL, MS Excel (Including VBA)
  • Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering. 
  • Exploratory Data Analysis – Data Preparation, Data Exploration, and Data Visualization.  
  • Expertise – Descriptive, Diagnostic, Predictive, and Prescriptive Analytics. 
     

Roles & Responsibilities
  • Manager Analytics will be responsible for building and implementing data solutions to drive analytics reports.
  • Assess current tools and enhance to improve flexibility and sustainability.
  • Convert existing Python generated excel reports into one master data feed to be utilized in dashboards to be built in visualization tool.
  • Establish new data gathering and analysis techniques within the organization.
  • Drive data based decision making by providing actionable insights from customer behaviour and engagement across various touch points.
  • Building and implementing next generation predictive models leveraging traditional and non traditional data.
  • Successfully conceptualize, develop and deploy advanced analytics solutions in a high performing environment through data augmentation, value extraction and monetization
  • In addition, the resource will be responsible for evaluating multiple machine learning and regression techniques for specific use cases.
     

Competencies
  • Must have coding experience in Python, advanced excel knowledge including VBA
  • Must have experience working with Cloud like Azure, AWS or GCP
  • He/she will interact and at times work with external partners in the industry to ensure that they remain abreast with the knowledge in pharma industry especially in analytics domain. 
  • Ability to communicate quantitative and technical concepts to non-technical audiences
  • Excellent written and verbal communication skills
  • Strong understanding of the interplay between technology, business & data
  • Excellent knowledge of Pharma/Consumer goods domain to identify analytical use cases
     

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