Associate Analyst, Data Science

Job Description Summary

-Support the TA Head/Product Managers/Product Executives in the team -Provide enhanced marketing and secretarial support to team members. -Provide analytical and operational support. Associate are aligned to perform qualitative and quantitative analytics on data to enable the informed decision making.

 

Job Description

Major accountabilities: 

• Responsible for providing secretarial and administrative support.
• Support the Project Managers in preparation of promotional material for marketing.
• Ensure the full implementation of the SOP.
• Issuing monthly reports showing customer satisfaction level.
• Update distributors database -Ensure the accurate and timely completion of all reports.
• Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt.
• Distribution of marketing samples (where applicable)

Key performance indicators:

• Customer satisfaction
• Delivery on time

Minimum Requirements: 

Work Experience:

• Working experience within the pharmaceutical industry
• Market and customer intelligence
• Market Knowledge and Network is desirable
• Patient/client driven with excellent communication skills

Skills:

• Administrative Assistance
• Adobe InDesign
• Advertising Campaigns
• Business Networking
• Communication Skills
• Curiosity
• Customer Retention
• Digital Marketing
• Marketing Collateral
• Marketing Communications
• Marketing Plans
• Mobile Marketing
• Press Releases
• Social Media
• Sop (Standard Operating Procedure)
• Trade Shows

Languages:

• English

 

Skills Desired

Artifical Intelligence (AI) (Inactive), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, NLP (NeuroLinguistic Programming) and GenAI (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis