Responsible for optimizing data analysis and integration across the organization, the Specialist will utilize data visualization tools like Tableau to create insightful dashboards and reports. Also work with enterprise business systems such as Salesforce (CRM) and NetSuite (ERP) to leverage data structures for analytics; familiarity with these systems or comparable systems is preferred. This role requires experience with integration platforms like Workato and with programming languages such as Python or R for custom data analysis, scripting, and task automation. The Specialist will also gather functional requirements from business users across various departments, document detailed specifications for analytics and integration projects, and apply knowledge of data modeling and SQL for complex data manipulation. This role also involves using advanced statistical methods and machine learning algorithms to analyze complex datasets and predict trends. Familiarity with cloud computing services (AWS, Azure, Google Cloud) and project management skills in agile methodologies, particularly using Jira, are essential for adapting to changing technologies and research priorities. Additionally, the Specialist will be responsible for resource allocation, workload management, project prioritization, and maintaining comprehensive project documentation. This includes coordinating testing phases to ensure solution accuracy and effectiveness. The role may also involve working with scientific datasets, understanding data governance and compliance standards, and utilizing LIMS and ELN for efficient data capture and management. Interpersonally, the Specialist must possess strong critical thinking and analytical skills, excellent communication abilities, and a proactive approach to collaborating with departments such as Sales, Marketing, Finance, R&D, and Engineering. Project management capabilities, adaptability to new technologies, attention to detail, teamwork, resilience, and a commitment to continuous learning and professional development are crucial. The Specialist may also bring innovative thinking to apply data analytics in novel ways, mentor and train team members, and exercise strong ethical judgment in handling sensitive scientific data. This position is vital in ensuring the effective integration and utilization of data analytics and AI initiatives within the organization.
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Job Type
Full-time
Career Level
Entry Level
Industry
Professional, Scientific, and Technical Services
Education Level
Bachelor's degree
Number of Employees
11-50 employees