Top Remote Analysis Reporting Jobs in Hartford, CT

Analyze operational data, build and maintain Power BI dashboards, validate data quality, investigate trends and discrepancies, document reporting definitions, and communicate findings to business stakeholders. Partner with IT, data engineering, and analytics teams to resolve data issues and support reliable reporting. Use SQL, Power Query, DAX, Excel, and AI-enabled analytics tools to transform data and inform process improvements.

Supports energy and sustainability analytics for data center clients by cleaning, validating, and analyzing datasets; developing Power BI or Tableau dashboards, dataflows, and reports; documenting methodologies; performing quality checks; and delivering accurate outputs across concurrent projects. Collaborates with energy and sustainability teams, learns internal analytics platforms, and identifies opportunities to improve reporting, automation, and workflows.

Designs and maintains scalable data pipelines, integrations, and foundational data models using Snowflake, dbt, and AWS. Establishes data quality, testing, governance, and documentation standards while supporting analytics, financial systems, and reporting. Partners with Engineering, Analytics, Finance, and Operations, leads technical decisions, improves development workflows, mentors teammates, and incorporates AI coding agents into engineering processes.

Leads the development of scalable business intelligence, reporting, dashboards, data governance, and analytics capabilities. Integrates syndicated CPG, loyalty, inventory, and store-level data to generate actionable commercial insights. Partners with Consumer Insights and cross-functional leaders, manages external data providers, improves data quality, and helps implement AI-enabled reporting and analytical workflows. Requires strategic leadership combined with hands-on data, BI, and stakeholder engagement.

Leads operational analytics and reporting for Business Operations, including recurring performance reporting, KPI development, dashboards, data validation, root-cause analysis, and actionable insights. Partners with cross-functional leaders to improve performance management, reporting automation, data quality, and decision-making. Builds and develops a high-performing analytics team while connecting operational metrics to customer experience, productivity, service, revenue, and cost.

Leads NRDC’s Prospect Research function, managing three to four researchers and overseeing prospect identification, qualification, wealth analysis, due diligence, reporting, and pipeline development. Partners with development leadership, prospect management, and fundraisers to provide actionable intelligence for cultivation, solicitation, and stewardship. Establishes research standards, metrics, workflows, and data governance while supporting Salesforce reporting, research-tool evaluation, staff development, and strategic fundraising initiatives.

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Designs and maintains enterprise reports, dashboards, datasets, data models, and analytics solutions for DoD and DHA healthcare contact center operations. Translates contractual and operational requirements into standardized metrics and reporting specifications using Salesforce CRM Analytics, Salesforce Health Cloud, Amazon Connect, and related tools. Supports workforce management, quality assurance, patient engagement, data validation, automated refreshes, troubleshooting, compliance, and stakeholder reporting.

Design and deliver scalable enterprise data platforms supporting analytics and AI for private equity portfolio companies. Lead architecture, data modeling, governance, pipelines, testing, deployment, and monitoring across the full project lifecycle. Manage and mentor cross-functional technical teams, communicate recommendations to senior client stakeholders, and remain hands-on with SQL, Python, cloud data platforms, and transformations. Contribute to AI strategy, reusable architectures, business development, and firm-wide initiatives.

Administer, maintain, install, configure, upgrade, and troubleshoot IBM DB2 databases across AIX and UNIX environments. Develop SQL, DDL, DML, PL/SQL, shell, and deployment scripts; manage database objects; support production systems; and coordinate database changes with application, technical support, and operations teams to ensure availability, stability, and reliability.