Trainee – Junior Data Analyst (Process Executive)
CognizantSkills: safety database pharmacovigilance Case Processing (ICSR)
Overview
* Read the job description carefully before you apply.
Industry: Healthcare
Eligibility: B.Pharm, M.Pharm
Salary: ₹240000–250000 LPA
Interview: In-Person
Experience: Fresher
Job nature: Permanent
Work mode: On-site
Gender: any
Job Description
Please read complete JD before you apply. Only shortlisted candidate will recieve an interview invite via email.
Please do not apply if you do not meet the eligibility criteria or cannot attend the face-to-face (F2F) interview on the specified date.
Job Location: Mumbai (Airoli)
Interview: Face to face only
Date: 14th Oct 2026.
Salary: 2.5 LPA
Shift: Rotational
Please do not apply if you have attended an interview with Cognizant in the last 3 months.
Key Responsibilities:
Data Entry & Verification: Extracting information from source files and entering it accurately into standard clinical, safety, or corporate databases.
- Operational Execution: Meeting strict daily target volumes and Turnaround Times (TAT) while maintaining zero-error data quality.
- Query & Coding Management: Reviewing files to flag missing data, generating data query sheets, and performing basic medical coding using standard dictionaries like MedDRA.
- Reporting & AI Support: Generating basic data reports for internal teams and assisting in evaluating the performance of internal automated or Generative AI workflows.
- Compliance & SOP Adherence: Following corporate Standard Operating Procedures (SOPs), strict quality checklists, and regulatory guidelines to ensure data security.
Skills Required:
Good English Communication Skills: Clear verbal and written English skills for global team collaboration and data documentation. - Proficiency in MS Excel: Strong capability in organizing and analyzing datasets using VLOOKUP and Pivot Tables.
- High Attention to Detail: Exceptional precision to maintain zero-error entry and meet strict quality metrics.
- Basic Domain Knowledge: Foundational understanding of data management principles, clinical terms, or automated tools.
- Time Management: Proven ability to prioritize tasks and consistently meet daily client turnaround times.