
Data Analyst
5 days ago
Primary Responsibilities :
- Create and maintain metrics and reports to monitor the business and provide insight, Identify and drive opportunities to continuously improve within all applications.
- Remedy system issues and prioritise system enhancements and detect fixes.
- Design and implement data integration processes to ensure seamless data flow between systems
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions
- Optimize performance of Planning Analytics applications and troubleshoot issues as they arise
- Provide training and support to end-users to ensure effective utilization of Planning Analytics tools
- Stay updated with the latest features and best practices in IBM Planning Analytics
- Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions
- Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making
- Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables
- Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications :
- Undergraduate degree or equivalent experience
- Technical Skills : Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries
- Research Expertise : Demonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies
- Communication : Demonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters
- Collaboration : Demonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment
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