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# Business Intelligence & Clinical Operations Analytics Specialist, Hybrid

- **Company:** Merck Sharp & Dohme LLC
- **Location:** Lansdale, PA, United States
- **Experience:** Expert
- **Salary:** $117,000.0 - $184,200.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Data Analysis, JIRA, Data Architecture, Data Visualization, Database Queries, Github, Python (Programming Language), Microsoft Office, Systems Development Life Cycle, Power BI, Cloud Services, Software Engineering, SQL Databases, Generative AI, Amazon Relational Database Service, Information Technology, Data Analytics, Data Management, Amazon Redshift, Databricks
- **Published:** August 9, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3348141110&tx=DT110UHZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelors (or higher) in Data Science, Computer Science, Management Information Systems, or related domains, * 4+ 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., Business Intelligence (BI), Clinical Trials, Data Analysis, Data Modeling, Data Science, Data Visualization, Project Management, Reporting and Analysis, Software Development Life Cycle (SDLC), SQL Database Queries, Stakeholder Management, User Experience (UX) Design

Preferred Skills:

Agile Methodology, Computer Science, Vendor Management

## Description

The Sr 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 within Global Clinical Trial Operations (GCTO)., * 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 different 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.


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