Top Data & Analytics Jobs in Hartford, CT

The Director of Business Intelligence will lead analytics initiatives, manage reporting for conversational platforms, and guide strategic decisions while collaborating across product, design, and engineering teams.

Own the measurement strategy for platforms, design reporting and data products, and provide analytics expertise on conversational channel trends and outcomes. Requires deep expertise in IVR platforms and digital assistants.

The Principal Financial Analyst will oversee revenue planning, support business partners, manage financial data, and lead analysis efforts for strategic planning and acquisitions.

The EHSS & Quality Senior Analyst leads data management for EHS, ESG, and Quality goals, ensuring compliance and driving continuous improvement initiatives. Responsibilities include data collection, analysis, and reporting, as well as the development of dashboards and automation processes.

The Business Intelligence Data Analyst II role involves creating reports and dashboards, conducting analyses, resolving issues, and optimizing data structures while collaborating with cross-functional teams.

The Product Data Analyst leads data collection and analysis to inform product strategy, collaborates across teams, and ensures data integrity for decision-making in product management.

As a Data Engineer, you'll design and implement data pipelines on Google Cloud, manage cloud infrastructure, ensure data quality, and enable analytics for marketing insights.

The Business Systems Analyst will analyze business requirements, document processes, and develop scalable solutions for Salesforce to enhance sales operations.

Lead statistical programming activities for clinical trials, manage project milestones, and collaborate with various departments to ensure high-quality deliverables.

The intern will automate workflows using AI, develop tools for fraud detection, analyze member trends, and replace manual audits with AI monitoring.

The Data Analyst will provide analytical support for projects, utilize various software tools for data management, and contribute to presentations and recommendations based on data analysis.