Top Analytics Jobs in Hartford, CT
The Cyber Threat Researcher will enhance BlueVoyant's SOC operations by automating analysis, detecting advanced threats, designing CI/CD processes, and improving incident response through collaboration with stakeholders and utilizing strong skills in forensics and network protocols.
The Sr. Workday Solutions Analyst will analyze, design, and implement solutions within the Workday ecosystem, focusing on Core HCM and Compensation modules. The role requires collaboration with business partners, testing processes, ensuring compliance, and providing support for system documentation and functionality improvements.
As a Data Engineer, you will build and operationalize complex data solutions, design data systems, and collaborate across teams to utilize data for AI and business insights. Responsibilities include data analysis, transformation, and ensuring data quality and governance.
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The Performance Analytics Consultant analyzes data trends, discovers key drivers, and communicates findings to business partners. They support underwriting strategies, monitor performance metrics, create analytic tools, and enhance partnerships by developing business insights from various data sources.
The GenAI Solution Expert will lead the proof-of-concept and adoption of AI technologies, develop strategies to enhance business objectives, and analyze potential AI use cases. Responsibilities include collaborating with teams, conducting analyses, planning initiatives, and communicating with senior stakeholders. This role requires strategic thinking and project management experience, particularly in the healthcare sector, and proficiency in AI and machine learning models.
The SOC Analyst will monitor, analyze, and respond to security alerts, manage incidents using SOC tools, collaborate on process improvements, handle client tickets, and contribute to developing SOC procedures, ensuring thorough incident management and organizational efficiency.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
As a Senior Data Analyst, you will process and integrate massive datasets, optimize data processes, and collaborate with business users to understand their analysis needs. You will develop reports, participate in implementing new IT platforms, and ensure data quality while working closely with trading and IT departments.
The Survey Data Analyst will manage survey data initiatives, develop questionnaires, analyze data, summarize findings, and make recommendations. Responsibilities include data processing, quality control, and supporting project closeout activities. The role requires interaction with clients to improve operations through data-driven insights.
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