Manager - Analytics

6 days ago

Mumbai, Maharashtra, India Piramal Group Full time ₹ 6,00,000 - ₹ 18,00,000 per year
Description

Business: Global Business Shared Services , CPF

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  

Key Stakeholders: External 

Vendors

Reporting Structure: Will report to VP Shared Services

Experience

•2 to 3 years of total work experience

•Must haves: Analytics Tools – Python, MS Excel

•Good to have: Power BI, VBA, RPA

•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

•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

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.

Qualifications

Bachelors' / Master's in Statistics, Information Systems, Computer Sciences, Mathematics, Operational Research or any quantitative domain with MBA degree preferred, Engineering Pass out


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