Analytics Consultant

About the Role

We are looking for an Analytics Consultant with strong experience in Pharma/Life Sciences analytics to deliver data-driven insights and advanced analytical solutions.

This role involves end-to-end ownership of analytics projects, working closely with cross-functional teams, and applying statistical/ML techniques to solve real-world commercial and marketing problems.

Key Responsibilities :

Analytics Delivery & Execution :

- Own and support end-to-end analytics projects from problem definition to insights delivery

- Perform data preparation, analysis, and quality checks (QC)

- Apply statistical modeling and machine learning techniques to solve business problems

- Monitor project progress, identify risks, and ensure timely delivery of high-quality outputs

Commercial & Pharma Analytics :

- Work on commercial analytics use cases such as Market Mix Modelling (MMM), Test & Control, OCE analytics, and Budget Optimization

- Stay updated with pharma analytics trends and best practices

Product & Solution Development :

- Contribute to the development of analytics solutions, dashboards, and data pipelines

- Support design, validation, and deployment of analytical models and tools

- Collaborate on product enhancements and innovation initiatives

Stakeholder Collaboration :

- Work closely with data scientists, developers, and business stakeholders

- Contribute to new initiatives and analytical solution building

Ideal Candidate :

Mandatory (Experience) :

- 3+ years of experience in Analytics / Decision Sciences

Mandatory (Core Skills) :

- Hands-on experience in end-to-end analytics projects (problem solving analysis insights

delivery)

- Experience working in cross-functional or client-facing environments

Mandatory (Commercial Analytics) :

- Experience in Market Mix Modelling (MMM), Test & Control, OCE Analytics, Budget Optimization

Mandatory (Technical Skills) :

- Strong proficiency in SQL and Python (or R)

- Experience with statistical modeling / machine learning techniques

Mandatory (Tools) :

- Exposure to tools such as YUMI, Telmar, Comscore, or similar analytics platforms
Preferred (Visualization Tools)

- Work Mode : Hybrid (WFH flexibility 6 days/month)

- Compensation : CTC includes 10% variable pay

Why Join :

- Work on high-impact pharma analytics projects

- Exposure to advanced commercial analytics and ML use cases

- Collaborative environment with cross-functional teams and domain experts