Data Operations Analyst (Pharma industry)

N-IX is looking for an Operations Analyst to support a large-scale, multi-phase deployment project in the pharmaceutical sector. This role is a hybrid of data analytics and operational incident management, requiring both technical data skills and a structured, process-oriented approach to managing data issues.
 

Location: Remote
Working Hours: Must overlap 7:30 AM – 3:30 PM U.S. Central Time

Key Responsibilities:

• Manage the full lifecycle of data incidents: from logging, investigation, triaging, to resolution and closure.
• Analyze and investigate data discrepancies and issues reported by field users and business teams.
• Triaging issues and coordinating with internal technical teams (data engineering, IT, brand teams) to assign and track resolution.
• Validate fixes and ensure data quality is restored before closure.
• Track issue status, maintain logs, and ensure SLA adherence and process compliance.
• Summarize and convey updates to business stakeholders in a clear, structured manner.
• Support ongoing improvements in data quality processes and operational workflows.
• Contribute to user acceptance testing (UAT), documentation, and training as needed.
• Perform technical triage and communicate clear summaries back to business teams.
   

Must-Have Skills:

• SQL skills to investigate and validate data issues.
• Experience with incident tracking systems (e.g., Jira, ServiceNow).
• Prior experience in commercial pharma data operations (e.g., CRM, sales, field ops data).
• Proven ability to manage incidents, track issues, and ensure timely resolution.
• Process-oriented mindset with a focus on data quality and compliance.
• Strong communication skills to collaborate with both technical teams and business users.
• Comfortable working remotely with required overlap in U.S. Central Time hours.
   

Nice-to-Have:

• Exposure to data governance frameworks in pharma.
• Experience contributing to SLA definitions and process improvement initiatives.
• Experience with Power BI or Tableau for data validation and reporting tasks.