Top Remote Data & Analytics Jobs in Hartford, CT

Lead analytical support for commercial and sales teams to identify growth opportunities, build advanced reporting and tools (Power BI/Tableau, SQL, Excel), track strategic initiatives, support territory optimization and customer segmentation, develop consumer insights, and provide ad-hoc analysis to drive sales force effectiveness and EBITDA goals.

Performs advanced product and business analytics for a consumer mobile app, including experimentation, statistical analysis, metric development, dashboards, and leadership-ready insights. Partners with Product, Engineering, Finance, Data Science, and Analytics teams to guide strategy and feature iteration. Works independently with large datasets, communicates tradeoffs clearly, and uses AI-assisted tools to improve analytical efficiency.

Leads Antenna’s insights and analytics function, setting editorial standards, managing custom data delivery, building internal tools and workflows, defining KPIs, and hiring and developing a remote analyst team. The role presents findings to senior clients, partners cross-functionally on data products, identifies new analytics opportunities, and remains hands-on with complex analyses. Requires strong leadership, communication, technical SQL and AI knowledge, client engagement, and media industry experience.

Build network capacity and demand forecasts across 50 states, support clinician recruitment and retention analytics, measure clinical and scheduling outcomes, and design experiments with Product and Engineering. Develop governed data models, KPI definitions, and AI-powered analytics infrastructure. Serve as the primary analytics partner for Network leadership by translating complex, multi-source data into actionable recommendations and presenting insights to technical and executive audiences.

Develop dashboards, reporting, and analytics solutions for business teams; monitor performance trends, data quality, risks, and key metrics; investigate complex questions; support A/B testing and instrumentation; and communicate actionable insights to technical and non-technical stakeholders. The role also requires expertise in profit drivers, unit economics, campaign and funnel performance, and the company’s analytics infrastructure.

Leads the database engineering and architecture function supporting medical imaging platforms. Responsibilities include managing and developing database engineers and architects, defining scalable and secure database strategies, overseeing reliability, capacity planning, backup and disaster recovery, enforcing HIPAA and healthcare interoperability compliance, evaluating database technologies, and leading migrations and modernization across cloud, on-premises, and hybrid environments.

Leads actuarial technology and reporting initiatives, expanding adoption of the Actuarial Technology Platform. Designs and implements process improvements for financial reporting and pricing, develops process maps, supports legacy actuarial solutions, and promotes AI-enabled analytics. Collaborates with actuarial data, enterprise analytics, and platform teams while providing technical leadership, governance, issue resolution, training, and mentorship.

Build and operate an Azure-based lakehouse data platform, develop and maintain ELT pipelines, model governed data, and create trusted reports and dashboards. Lead migration from legacy SQL Server reporting and Power BI to a centralized data portal. Support internal applications, data quality, business systems integrations, and AI-powered natural-language data access. Collaborate with stakeholders across service delivery, finance, sales, client success, and leadership while managing reconciliation, reporting standards, and platform reliability.

Analyze, clean, validate, and interpret data to identify trends and actionable insights. Develop SQL queries, maintain databases and Excel workbooks, calculate financial KPIs, collaborate with stakeholders, gather business requirements, and present recommendations to nontechnical audiences. The role supports Finance Analytics and contributes to building a new data ecosystem.

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.