Business: Global Business Shared Services , CPFDepartment: AnalyticsLocation: Kurla, MumbaiTravel: 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
About Us
In the three decades of its existence, Piramal Group has pursued a twin strategy of both organic and inorganic growth.Driven by its core values, Piramal Group steadfastly pursues inclusive growth, while adhering to ethical and values-driven practices.
Equal employment opportunity
Piramal Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, ethnicity, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetics, or other applicable legally protected characteristics.We base our employment decisions on merit considering qualifications, skills, performance, and achievements. We endeavor to ensure that all applicants and employees receive equal opportunity in personnel matters, including recruitment, selection, training, placement, promotion, demotion, compensation and benefits, transfers, terminations, and working conditions, including reasonable accommodation for qualified individuals with disabilities as well as individuals with needs related to their religious observance or practice.
About The Team
Piramal Pharma Limited (PPL) offers a portfolio of differentiated products and services through end-to-end manufacturing capabilities across 15 global facilities and a global distribution network in over 100 countries. PPL includes Piramal Pharma Solutions (PPS), an integrated Contract Development and Manufacturing Organization; Piramal Critical Care (PCC), a Complex Hospital Generics business, and the India Consumer Healthcare business selling over-the-counter products.PPS offers end-to-end development and manufacturing solutions through a globally integrated network of facilities across the drug life cycle to innovators and generic companies. PCC’s complex hospital product portfolio includes inhalation anaesthetics, intrathecal therapies for spasticity and pain management, injectable pain and anaesthetics, injectable anti-infectives, and other therapies. The Indian Consumer Healthcare business is among the leading players in India in the self-care space, with established brands in the Indian consumer healthcare market. In addition, PPL has a joint venture with Allergan, a leader in ophthalmology in the Indian formulations market. In October 2020, the company received a growth equity investment from the Carlyle Group.
