Job Description

The Specialist within Operational Enablement & Effectiveness (OEE) / MAP has experience in clinical operations and is responsible for the development of data analysis and visualizations in support of user needs across Global Clinical Trial Operations (GCTO) across our portfolio, studies & processes.

Primary responsibilities include but are not limited to:

- Creating analytical tools to answer critical business questions for GCTO
- Managing project timelines to enable accurate reporting and functionality during Software Development Lifecycle (SDLC)
- Managing diverse projects and processes within GCTO/OEE Teams.
- Champion data quality, integrity, and reliability by designing and promoting best practices.
- Lead business requirement sessions with Business Analysts and stakeholders.
- Coordinate with IT/vendor on business requirements for new or enhancement reporting needs to support GCTO reporting.
- Test and deploy new capabilities using BI applications.
- Create new visualizations to enable informed business decisions on strategy and execution.
- Vendor relationship management ensuring business requirements are clearly articulated and executed.
- Provide BI training to BA/stakeholders to foster increased understanding and utilization of the information provided.
- Present complex data to non-technical end-users in a clear and concise manner.
- Design and develop rigorous data analyses and comprehensive data tools for internal stakeholders.
- Develop a deep understanding of the current state of available data sources and data tools; be able to determine enhancements needed based on OEE’s roadmap.
- Support business use cases based on existing Data & Analytics (D&A;) products and link usage to business outcomes.

Education Requirements:

- Bachelors (or higher) in Data Science, Computer Science, Management Information Systems,



or related domains

Required Experience & Skills:

- 2+ years of experience in Business Intelligence (BI) and Analytics using BI tools (Power BI)
- Experience in data management (Data analysis, Data architecture, Data Modeling)
- Experience with writing SQL and building complex queries
- Basic knowledge of AWS cloud services (S3, EC2, RDS, Redshift), Databricks, JIRA, Github
- Good organizational, time management and project management skills
- Experience in leveraging and managing third party vendors and contractors.
- Self-motivated, proactive, with ability to work independently with minimum direction.
- Good communication (written and oral) skills
- General knowledge of MS Office

Preferred Experience & Skills:

- Knowledge of Python and GenAI tools
- Ability to work both independently and collaboratively within a geographically dispersed team
- Ability to learn and use new technologies
- Ability to manage through complexity and ambiguity along with competing priorities.
- Basic knowledge of Clinical Development / Operations.

Required Skills:

Adaptability, Adaptability, Amazon Web Services (AWS), Analytics Architecture, Business Decisions, Business Intelligence (BI), Business Intelligence Implementation, Clinical Data Cleaning, Clinical Data Management, Clinical Development, Computer Science, Customer-Focused, Data Analysis, Database Development, Data Modeling, Data Processing, Data Quality Assurance, Data Review, Data Validation, Data Visualization, Electronic Data Capture (EDC), Learning Agility, Management Information Systems (MIS), Multi-Management, Pharmacovigilance {+ 2 more}

Job Details

- Employee Status: Regular
- Relocation: No relocation
- VISA Sponsorship: No
- Travel Requirements: No Travel Required
- Versátil Work Arrangements: Hybrid
- Shift: Not Indicated
- Valid Driving License: No
- Hazardous Material(s): no

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📌 Business Intelligence Engineer - Specialist (Buenos Aires)
🏢 Merck Gruppe - MSD Sharp & Dohme
📍 Buenos Aires