Associate Consultant - Analytics

We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, wed love to hear from you.

Job Summary

The Associate Consultant – Analytics supports the delivery of pharmaceutical and healthcare analytics projects by performing data analysis, developing insights, and assisting in statistical modeling to address commercial and patient analytics use cases.

Experience Required:

• 2–4 years of experience in analytics or decision sciences, preferably within the pharmaceutical or healthcare industry.
  
• Hands-on experience supporting analytics projects and contributing to delivery of pharma/commercial analytics engagements.
  
• Exposure to commercial analytics such as Market Mix Modelling, Test & Control analytics, OCE analytics, Budget Optimization, etc.
  
• Familiarity with Patient analytics, Market Access analytics, or Sales analytics is preferred.
  
• Experience working in cross-functional team environments with strong collaboration skills.
  
• Exposure to Power BI or similar dashboarding tools (e.g., Tableau, Looker) is a plus.
  

Technical Skills:

• Working knowledge of statistical analysis tools and programming languages such as Python, SAS, SQL, etc., along with proficiency in Microsoft Office Suite.
  
• Foundational understanding of AI/ML techniques and their application in decision sciences and commercial analytics.
  
• Experience in data cleaning, validation, exploratory data analysis (EDA), and basic model development.
  

Communication & Professional Skills:

• Good written and verbal communication skills; ability to translate analytical findings into clear, structured insights.
  
• Proactive and detail-oriented; takes ownership of assigned modules/workstreams.
  
• Ability to manage multiple tasks and meet deadlines in a fast-paced environment.
  

Responsibilities

Project Delivery & Execution:

• Support day-to-day execution of Decision Sciences projects by delivering assigned workstreams and analytics modules.
  
• Perform data preparation, analysis, validation, and quality checks to ensure accuracy and reliability.
  
• Maintain project documentation, trackers, and status updates.
  
• Collaborate with cross-functional teams to understand business objectives and translate them into analytical approaches.
  
• Assist in identifying risks and challenges; escalate issues appropriately.
  
• Contribute to the development of dashboards, reports, and client-ready presentations.
  

Analytics & Solution Development:

• Assist in building, validating, and refining statistical models and analytical solutions for commercial and marketing use cases.
  
• Apply statistical and machine learning techniques under guidance to solve business problems.
  
• Support development of prototypes/POCs and summarize findings with actionable recommendations.
  
• Contribute to internal knowledge assets, case studies, and best practice documentation.
  
• Stay updated on industry trends, tools, and emerging technologies in pharma analytics and decision sciences.