Job Description

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. Good to have D2C, Ecommerce and Marketing analytics knowledge.

EXPERIENCE:

We have 2 open roles

- Overall experience should be 1 to 5 years

- Analytics Tools - Python, 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

Key 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.

- 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.

Skills / 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 ecommerce 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

- Strong understanding of D2C and Ecommerce business, Marketing channels

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