Top Analysis Reporting Jobs in Hartford, CT

Lead measurement and insights strategies across B2B client programs. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, deliver client-facing recommendations, mentor junior staff, and advance agency analytics capabilities.

The role involves entering data into databases, ensuring accuracy, performing document scanning, and generating reports. Attention to detail and following data entry procedures are crucial.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

The IT Business Analyst will analyze business data, develop reports, create dashboards, validate data quality, and support data warehouse initiatives.

The role involves analyzing report requirements, designing and developing reports using SQL and SSRS, and supporting data integrity issues. It requires strong analytical skills and communication with users to meet reporting needs.

The Data Modeler will focus on dimensional and operational modeling, data dictionary mapping, XML schema design, and liaising with clients. They will work on data profiling and utilize modeling tools while managing data artifacts and collaborating with external teams.

The Assistant Professor of Natural Science teaches courses, develops curricula, assesses student performance, engages in professional development, and conducts scholarly work.

Develop and maintain SQL-based reports, dashboards, and statistical models to support Stop Loss Claims. Analyze large datasets to find trends and anomalies, automate reporting processes, validate and cleanse data, ensure data quality and freshness, and present actionable insights to business leaders. Collaborate with IT and stakeholders to resolve data issues and improve operational efficiency.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Design, build, and optimize the company lakehouse environment and ETL/ELT pipelines (Databricks/Azure/Fabric). Develop semantic models, governed metrics, data quality controls, monitoring, and CI/CD practices. Partner with business, security, and analytics teams to steward master data, implement governance and access controls, and enable reliable datasets for reporting and AI use cases.