Product Data Analyst

Sr. Product Analyst – Development Sciences & Clinical Supply 

Job Summary 

We are seeking a skilled Sr. Product Analyst with a strong background in Development Sciences and Clinical Supply to join our dynamic team. This role requires a blend of analytical skills, domain knowledge, and effective communication abilities. 

Key Responsibilities 

• Requirements gathering: Collaborate with DSCS users and gather requirements and use cases. Understand the SDLC process, GxP data products, and deliver key deliverables required post business analysis based on organization standards. 

• Data Analysis: Conduct thorough data analyses of data for example from systems like LIMS, lab instruments, Signals. Have thorough knowledge of DSCS to support workstream like ingesting data from Lab instruments. 

• Knowledge on pilot plant processes and data generated from systems like PI, Delta-V, SIPAT, MES systems etc. 

• Cross-Functional Collaboration: Partner with other teams to gather requirements and analyze them for development team. 

• Documentation: Create and maintain detailed documentation of analytical methodologies, processes, and findings to ensure transparency and reproducibility. 

• Stakeholder Communication: Present analytical findings and strategic recommendations to stakeholders, ensuring alignment on product strategies and operational improvements. 

• Regulatory Compliance: Ensure that all analyses and reporting practices adhere to relevant regulatory requirements and industry standards. 

Qualifications 

• Education: Bachelor’s degree in Life Sciences, Data Science, Business Administration, or a related field. 

• Experience: 

• 5+ years of experience as a product analyst or in a similar analytical role, preferably within the pharmaceutical industry. 

• Strong understanding of DPTM domain 

Technical Skills 

• Proficiency in data analysis tools (e.g., Excel, SQL, R, or Python). 

• Experience with data visualization tools (e.g., Tableau, Power BI) 

• Familiarity with statistical analysis and modeling techniques. 

• Proficiency in cloud technology for example in AWS. 

Soft Skills 

• Strong analytical and problem-solving abilities. 

• Excellent communication and presentation skills, with the ability to convey complex information clearly and effectively. 

• Ability to work collaboratively in a fast-paced, cross-functional environment. 

• Experience with project management methodologies and tools. 

• Familiarity with Agile methodologies and product lifecycle management.