Top Remote Data & Analytics Jobs in Hartford, CT

Data Engineer II will modernize BlueLabs’ data platform by leading Kimball dimensional modeling and legacy warehouse migrations, building reliable production data pipelines, and enforcing data quality standards. The role requires advanced SQL, Python, and dbt expertise, hands-on Snowflake and Redshift experience, and ownership of testing, documentation, observability, and scalable architecture. The engineer will collaborate cross-functionally, guide Data Engineer I team members, contribute to architectural decisions, and translate business logic into maintainable, cloud-agnostic data layers.

Combines GIS, business intelligence, and commercial real estate strategy to support portfolio planning and location decisions. Develops ArcGIS maps, dashboards, data pipelines, reporting solutions, and portfolio analytics. Integrates and validates data from multiple sources, supports workplace and occupancy strategy, automates reporting, and creates client-ready plans and recommendations. Partners with transaction teams, brokers, account leaders, and clients to translate business requirements into actionable scenarios and executive-level insights.

Leads data intelligence for Medicaid, DSNP, and Marketplace procurement efforts. Analyzes claims, clinical, quality, network, operational, and competitive data; governs centralized repositories; develops proof points for RFPs; and provides strategic recommendations to proposal writers and growth leaders. Manages concurrent procurements, stakeholder relationships, reporting, continuous improvement, and staff development while supporting regulatory and competitive monitoring. Requires up to 40% business travel.

Own analytics and reporting solutions for acquisitions, product launches, and other complex business events. Translate business changes into data models, system updates, processes, and reporting definitions. Coordinate Data Engineering, Analytics, Data Science, and Data Governance teams; lead cross-functional execution and establish a Business Intelligence Council. Partner across GTM, Finance, Product, IT, and other functions to reconcile metrics, clarify ownership, and maintain business visibility.

Develop and maintain Python scripts and automated workflows for NLM metadata management. Integrate Alma, OCLC, and other systems through APIs and batch exchanges; process, transform, validate, reconcile, and analyze bibliographic and authority metadata in formats including MARC, XML, JSON, and CSV. Implement logging, exception handling, reporting, and documentation while supporting workflow testing, systems integration, and automation improvements.

Lead enterprise data engineering standards, governed pipelines, data contracts, observability, quality controls, lineage, testing, and compliant data delivery. Partner with governance, privacy, architecture, modeling, and platform teams to ensure reliable, traceable, protected data products. Monitor operational performance, automate deployment and validation, and resolve pipeline and data reliability issues across complex enterprise environments.

Leads enterprise data architecture for a federal transportation agency, including data modeling, data warehouses, data marts, database design, ETL/ELT integration, governance, and cloud modernization. The role architects AWS-based solutions, supports migrations to Databricks and data lakes, integrates disparate systems, and provides technical leadership to stakeholders and development teams.

Develop and maintain Power BI reports, dashboards, visualizations, semantic models, and analytics solutions. Translate business requirements into scalable technical solutions, optimize queries and data models, ensure reporting accuracy and performance, and support data governance. Serve as the primary liaison for business users, provide training and troubleshooting, manage tickets, and collaborate with Data and QA teams. The role also advances AI and machine learning capabilities, mentors colleagues, and contributes to automation, documentation, and code reviews.

Provides senior-level data analysis, compliance reporting, qualitative and quantitative research, business intelligence, dashboards, and program measurement for the Personal Financial Counselor financial disclosure and conflict-of-interest program. Tracks certification, readiness, onboarding, and workforce metrics; identifies trends and risks; develops executive reports and actionable recommendations; supports audit readiness, process improvement, and cross-functional program decision-making.

Serves as the liaison between business stakeholders and ServiceNow developers, gathering requirements and mapping business processes to workflows. The role supports dashboards, KPIs, performance analytics, data validation, cleansing, transformation, testing, UAT, documentation, data governance, compliance, training, and process optimization. It develops user stories, acceptance criteria, and test scripts while helping federal agencies improve ServiceNow reporting, workflow automation, and operational performance.