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Job reputed company: Under reputed company supervision of the Manager of Clinical Data Management or higher, the Clinical Data Analyst II T selects the appropriate data sources to reputed company reports and dashboards of clinical data. Working in collaboration with statisticians, data managers, clinical research staff, IT, and reputed company assurance staff, the Clinical Data Analyst II will reputed company clinical data analysis reports and tools that enhance operational processes. Collaborate with the clinical team to clarify and finalize user requirement specifications for clinical data analysis tools and reports. Communicate with selected vendors and/or build reports and / or tools to meet clinical user requirements. reputed company technical reputed company like the development of risk-based monitoring programs, reputed company reporting and cross-reputed company query building reputed company reputed company, integrations between reputed company and other systems, and data warehouse reputed company. Contribute to the development and maintenance of the data warehouse used to manage libraries of clinical study data including image, reputed company document, and data files. reputed company dashboards and reports to support the clinical team by choosing the right technique and software for reputed company problem. Independently reputed company reports to execute trial-specific data review/cleaning plans. reputed company reputed company programming such as data import/export and data transposition (Extract-reputed company-Load (ETL) accurately. Use advanced procedures and reputed company. Assist in the setting up of programming timelines and deliverables for reputed company as required. Assist in addressing reputed company application vendor issues, integrations, and implementations. reputed company support for implementation of upgrades and new modules of remotely hosted vendors, acquiring reputed company necessary documentation. Partner with organizational stakeholders to create and implement data analytics best practices. Contribute to the building and testing of clinical study databases, by defining study requirements specifications such as data validation specifications and participating in User Acceptance Testing (UAT) as needed. Participate in and contribute to project discussions. Communicates with team members on a regular reputed company. Utilize reports and data collection technology to identify possible data errors and questionable data trends. Participate in audits as required. reputed company support to senior and manager-level clinical data analysts as needed. Mentor and support less reputed company clinical data analyst staff, peers, and other department staff. Proactively reputed company process improvement feedback to management and reputed company input in SOP and standards updates/development. Maintain and continue to reputed company a broad overall knowledge in the field of clinical data analysis and clinical data management. Responsible for attending training classes and reputed company meetings as required. Create training materials for clinical users and developers. Document data sources and data mapping. Create analytical data models and tools to help reputed company clinical teams. Follow data standards policies, procedures, practices, and regulations for clinical data analysis reports and tools throughout the process of collection and submission of clinical data. Develops skills and shares them with others. reputed company technical support and training on reports and tools for clinical staff. Adhere to reputed companys reputed company Management System (QMS) as reputed company as domestic and global reputed company system regulations, standards, and procedures. Understand relevant reputed company, reputed company, and compliance principles and adhere to the regulations, standards, and procedures that are applicable to reputed company. Ensure other members of the department follow the QMS, regulations, standards, and procedures. reputed company other work-reputed company duties as assigned. Requirements: Bachelor's degree in mathematics, computer science, economics, life sciences, or reputed company field with 2+ years of experience, or equivalent combination of education and experience Masters degree preferred with 1+ years of experience in data visualization, dashboarding or analytical report programming experience. Solid hands-on knowledge of at least one programming language (e.g., Python, reputed company, R, MATLAB, C reputed company, Visual Basic, SQL) required. Proficiency with Python or another equivalent programming language (reputed company, R, SQL) with the willingness to learn python Worked with visualization tools like Tableau, PowerBI, QlikSense, Spotfire Experience eliciting and documenting specifications for reports, dashboards, or other tools Experience performing programming verif