Data Analyst

Full-time B.E./B.Tech. in any elective / MBA specialized in Marketing, Operations

Research, and/or Business Analytics / from reputed institutions

• Minimum of 2 years of hands-on work experience in Data Science/Advance analytics

using Python and SQL

• Practical modeling experience specifically around quantitative and analytical skills and/or

Natural Language Processing (NLP) using LLMs is required

• Knowledge of solution design, planning, and execution

• People management skills and experience, and familiarity with the pharmaceutical

industry are preferred.

• Visualization Tool: Power BI, Tableau, MS Excel, think-cell, , Qlik Sense
• Automation Tool: VBA Macro, Python scripts

Essential Duties and Responsibilities:

• Application of advanced statistical & predictive analytics and machine learning models to

solve business problems

• Ability to communicate complex statistical concepts to non-experts

• Guide the team in using state-of-the-art data science technologies to improve efficiency

and productivity

• Communicate and collaborate with other team members/team lead to prepare analysis

plans on different engagements

• Plan and analyze different pharma data sets and create management consulting reports

• Hands on experience in developing production grade ML models

• Proficiency in Python to work with data files to create different kinds of charts, roll-up

summaries, different aggregations and perform various analyses

• Analyze data for patterns or trends to determine factors that influence outcomes

• Working experience in Hive and HUE to store data and provide retrieval capabilities as

needed, using queries and/or stored procedures is desirable

• Convert insights to visual graphics like charts, graphs, and tables

• Maintain extremely high standards of quality in all deliverables

• Perform both as an Individual Contributor and as a team coordinator

• Plan and allocate work to team members, monitor and track to closure

• Review and perform quality control of the team members deliverables

• Develop, update, and implement standard operating procedures for data analysis to

maintain quality