Data Operations Analyst

Chiesi USA, Inc. is seeking a highly skilled and motivated Data Operations Analyst with a strong background in Data Governance and system administration to join our Business Excellence Operations team. The ideal candidate will play a crucial part in implementing and maintaining robust data governance frameworks, managing data quality, to identify trends and inefficiencies, and supporting cross-functional collaboration to enable data-driven decision making.The position will work a hybrid model out of our Cary, NC office.

• Data Governance:
  
  
  
  • Assist in the implementation of data governance frameworks, including metadata management, data lineage tracking, and data stewardship efforts.
  • Work closely with Data Governance teams to ensure adherence to data policies and compliance requirements
  
  
  
  
• Data Quality Management:
  
  
  
  • Conduct data audits to identify and resolve data quality issues within operational systems, if possible, and/or to provide business rules for transformations
  • Develop and implement data quality checks and validation procedures to maintain data integrity.
  • Monitor data pipelines for inconsistencies and errors, taking corrective actions when necessary.
  
  
  
  
• Data Analysis and Reporting:
  
  
  
  • Extract and analyze operational data to identify trends, patterns, metrics, and key performance indicators (KPI) for various systems benefiting our Data Governance efforts.
  • Collaborate with vendor to develop operational reports/dashboards to visualize key insights and communicate findings to stakeholders across the organization
  • Create ad-hoc analyses to address specific business questions and support decision-making.
  
  
  
  
• Data Pipeline Management:
  
  
  
  • Document and monitor data pipelines to ensure SLAs are maintained
  • Collaborate with data engineers to implement data integration solutions and ensure data consistency across systems.
  
  
  
  
• System Administration and Maintenance:
  
  
  
  • Manage data management systems and tools, including data quality monitoring platforms and data visualization software.
  • Maintain data catalog, dictionaries, and documentation to ensure accurate data interpretation and usage.
  • Stay updated on emerging data technologies and best practices to continuously improve data operations.
  
  
  
  
• Cross-Functional Collaboration:
  
  
  
  • Work closely with IT, Business Excellence, and other internal stakeholders to understand their data needs and support data-driven decision-making
  • Collaborate with data scientists to develop advanced analytics models and leverage machine learning techniques for data-driven decision making
  
  
  
  
• Ad Hoc Analysis:
  
  
  
  • Responsible ad hoc analytic projects based on the requests from internal stakeholders
  • Identifying opportunities for increased efficiencies across domains and processes
  
  
  
  

Required Qualifications:

• Experience: Minimum of 3-5 years of experience in business systems analysis and data operations, preferably in the pharmaceutical industry.
• Technical Skills: Proficiency in system administration, database management, and business intelligence tools. Understanding of data warehousing / data lakehouse concepts and tools like Snowflake, Databricks, or Azure Data Warehouse. Ability to use BI tools to convey insights through visualizations. Programming capability using Python and R for analysis
• Critical Thinking: Analyze large datasets to identify trends, patterns, and anomalies
• Analytical Thinking: Breaks down raw information and undefined problems into specific, workable components that in-turn clearly identifies the issues at hand. Makes logical conclusions, anticipates obstacles, and considers different approaches to the decision-making process
• Statistical Analysis: Understanding of basic statistical concepts to interpret data accurately
• Communication: Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.
• Project Management: Experience in managing projects and working in cross-functional teams.
• Regulatory Knowledge: Familiarity with pharmaceutical industry regulations and compliance requirements (e.g., GxP, FDA 21 CFR Part 11, GDPR, etc.)
• Attention to detail: Is thorough when performing work; conscientious about attending to detail; few errors in work performed; uses logical thinking that is well organized and methodical.

Preferred Qualifications:

• Experience with Veeva CRM or Veeva Vault CRM, Marketing Automation platforms, Customer Data Platforms (CDP), Data Lakehouse architectures, Qualtrics.
• Strong proficiency in writing complex SQL queries to extract and manipulate data from databases.
• Working knowledge of Python and R for data analysis
• Experience with visualization platforms and conveying analytics insights
• Certification in relevant technologies or methodologies (e.g., CRM, MDM, Data Governance, PMP, ITIL, Lean Six Sigma, Agile, etc.).

Bachelor's degree in Computer Science, Information Technology, Business Administration, Data Management, or a related field.