Manager - Business Analytics

4 weeks ago

mumbai, India Piramal Group Full time

Business: Piramal Critical Care
Department: Analytics
Location: Kurla, Mumbai
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 at Piramal Critical Care
Key Stakeholders: External 

External Agencies

Reporting Structure: Reports to the Lead – Analytics Experience - yrs. of experience in Analytics 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.
  Competencies Must have coding experience in Python, advanced excel knowledge including VBA 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

Key Role & 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

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