Operations Analyst (#3413)

N-iX is a software development service company that helps businesses across the globe develop successful software products. During 22 years on the market and by
leveraging the capabilities of Eastern Europe talents the company has grown to 2200+ professionals with a broad portfolio of customers in the area of Fortune 500 companies as well as technological start-ups. N-iX has come a long way and increased its presence in nine countries - Poland, Ukraine, Romania, Bulgaria, Sweden, Malta, the UK, the US, and Colombia.

We are seeking 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.

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.
  
  

Candidate Profile Fit:

• This is ideal for a Data Analyst or BI Specialist who also has experience in data operations/support.
• Not suited for pure backend engineers or business analysts without hands-on data investigation skills.
• Best fit would be someone with experience in data incident management and technical data analysis in a commercial pharma context.