Top Data & Analytics Jobs in Hartford, CT

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

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

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

Deliver MSBI solutions using SSIS, SSRS and SQL Server; design BI solutions (including Tabular Model), manage offshore teams, enforce coding standards, perform SQL data analysis, conduct quality audits, and present insights to clients in a client-facing role.

Senior Talend developer responsible for developing and maintaining Talend ETL processes, performing data analysis and source-to-target mappings, designing and deploying ETL solutions, setting up ETL environments, and supporting data warehouse/OLAP architectures. Works with SMEs, follows technical and business requirements, and ensures data quality, metadata, and auditing.

The Insights Architect will lead architecture design for data warehousing and big data environments, ensuring data quality and implementing best practices across diverse technical teams.

Conduct geospatial and molecular HIV data analysis using R, SQL, or Python; manage, merge, validate, and document datasets; support data governance, reporting, and dissemination; and develop or maintain Power BI dashboards. Collaborate with analysts, review data quality issues and error logs, document corrections, and provide project updates while supporting CDC public health surveillance initiatives.

Support enterprise asset management data migration and system integration initiatives involving IBM Maximo. Analyze source and target environments, execute migration strategies, develop migration and interface components, validate data exchanged with enterprise platforms, and conduct quality reviews. Coordinate migration workstreams and help implement data governance standards. The role requires Maximo Integration Framework experience, large-scale data management expertise, and eligibility for Public Trust clearance.

Support enterprise asset management data migration and governance by analyzing source data, executing migration strategies, creating migration objects, validating data quality, and coordinating migration workstreams. The role requires expertise in IBM Maximo data structures, data management standards, data transformation, quality reviews, and large-scale optimization programs. Familiarity with AWS, IBM Cloud, Maximo configuration, custom objects, and workflow design is preferred.

Lead enterprise data strategy, governance, analysis, migration, validation, and integration for IBM Maximo implementations. Coordinate migration workstreams, develop migration approaches and objects, execute data transformations, conduct quality reviews, and collaborate with functional, technical, and business stakeholders to ensure accurate, reliable data aligned with organizational objectives.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.