Senior Data Analyst – AI Research Systems Support

Das ist der Job

Support development and optimization of ETL workflows, reporting processes, and analytics activities.

Darum lohnt es sich

Responsibilities Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives. Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.

Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources. Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.

Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis. Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.

Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments. Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities. Support data quality management, validation, and continuous improvement activities.

Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.

Requirements Bachelor’s degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field. 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.

Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments. Experience developing dashboards, reports, data visualizations, or business intelligence solutions. Experience supporting cloud-based analytics, data warehouse, or data lake environments.

Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows. Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights. Experience supporting data quality management and validation activities.

Ability to communicate technical findings clearly to executive and non-technical stakeholders. Proficiency with Microsoft Office Suite, including Excel and PowerPoint. Ability to work independently in a remote environment while managing multiple priorities. Ability to obtain and maintain a public trust clearance.

Legal authorization to work in the United States. #J-18808-Ljbffr