Top Remote Analysis Reporting Jobs in Hartford, CT

Performs remote data entry and administrative support by entering, updating, verifying, and organizing information in digital databases and electronic records. Maintains spreadsheets, reviews documents for accuracy, identifies discrepancies, protects confidential information, responds to update requests, and completes assigned projects on schedule while communicating progress to supervisors.

Build and optimize Snowflake data transformations across staging, curated, and conformed layers. Implement dimensional models, SCD Type 2 history, member matching, payer attribution, reconciliation, and member-month outputs. Develop restartable, testable processing with audit logging, error handling, data-quality checks, alerting, and schema-drift controls. Troubleshoot production issues, maintain documentation, participate in reviews and planning, and support client demonstrations.

Leads advanced data analytics and engineering initiatives, including data infrastructure, ETL, pipelines, warehousing, governance, visualization, and AI-enabled solutions. Supervises analysts, manages data systems and Smartsheet workflows, ensures documentation and contract compliance, and delivers insights, reports, and recommendations to improve program operations and grant management.

Analyzes claims data to identify trends, patterns, risks, and business opportunities. Retrieves, validates, and prepares data from multiple databases; creates reports, dashboards, visualizations, spreadsheets, and presentations; supports forecasting and reporting needs; collaborates with claims, underwriting, product, IT, and leadership teams; and communicates recommendations for business decisions and process improvements.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Leads Development’s data and systems operations, including CRM and WeGive administration, platform integrations, data hygiene, reporting, governance, troubleshooting, documentation, and staff training. Manages the Constituent Records Management team and Business Solutions Analyst, oversees vendor relationships, validates system updates, supports donor-data security and compliance, and translates technical issues into operational recommendations for leadership.

Lead managed services for clients' Azure, Databricks, and Microsoft Fabric data environments. Architect, implement, monitor, troubleshoot, and govern data platforms, ETL pipelines, data warehouses, semantic models, reporting, and AI/ML solutions. Manage incidents and SLAs, advise clients on licensing and technical strategy, communicate solutions, document environments, and mentor distributed engineering teams.

Analyzes data from multiple sources to identify trends, develop member segmentation and lifecycle models, support competitive analysis, and recommend strategies for improving member participation and financial products. Builds reports, dashboards, and data-driven tools for leaders and staff, collaborates with stakeholders, trains power users, and provides ongoing analytical support using SQL, R or Python, ETL, data modeling, and business intelligence tools.

Own the analytics function supporting fraud, credit risk, and operations. Build automation, reporting infrastructure, fraud-rule backtesting frameworks, risk-label systems, dashboards, and AI-assisted tools. Partner with stakeholders to identify high-impact opportunities, reduce manual work, and track hours saved. This hands-on individual contributor role has managerial scope and includes defining a new analytics function.

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.