Top Remote Analysis Reporting Jobs in Hartford, CT

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Leads four data-engineering teams supporting Wealth business capabilities. Provides hands-on technical leadership across architecture, solution design, coding, data pipelines, quality, observability, and production incidents. Establishes engineering standards across teams, partners with business and technology stakeholders, coordinates cross-domain initiatives, and develops technical talent through coaching and mentoring. The role emphasizes Databricks, modern data-engineering practices, reliable pipelines, automation, and AI-assisted development.

Partners with business and technical teams to identify process improvement and automation opportunities. Implements approved tools, integrations, APIs, ETL processes, dashboards, and reporting solutions. Extracts and analyzes data from diverse sources, translates findings into actionable insights, documents requirements and solution designs, and presents results to stakeholders. The role supports scalable operational improvements across Corporate Affairs while maintaining clear communication and effective collaboration.

Supports mission-critical software applications by gathering and documenting complex business requirements, facilitating stakeholder alignment, refining backlogs, and recommending process improvements. The role partners with product owners, development teams, and end users throughout the application lifecycle, ensures Agile/Scrum alignment, maintains records for application recertification, and helps deliver solutions supporting organizational objectives.

Supports supply chain digital transformation, analytics, and process-improvement initiatives. Responsibilities include creating dashboards, gathering and documenting tool requirements, testing features, developing AI-enabled tools, maintaining Confluence resources, and translating stakeholder needs into user-friendly solutions. The intern may also support requirements gathering, Agile practices, user acceptance testing, process mapping, documentation, training materials, and workflow automation.

Analyze customer lifecycle and Customer Success data to measure attribution, campaign performance, product adoption, retention, and revenue impact. Build multi-touch attribution models, integrate digital engagement data with Gainsight and CRM events, clean and unify datasets, segment audiences, identify journey bottlenecks, and create Tableau or Looker dashboards. Partner with Campaign Strategy, Product Insights, and CS Operations teams to deliver actionable recommendations and improve automated and human customer interventions.

Leads PBM data integration delivery across claims, eligibility, accumulator, and encounter systems. Profiles and validates data, writes advanced SQL, resolves reconciliation discrepancies, investigates production issues, and partners with engineering on scalable healthcare integration architecture. Owns timelines, risks, vendor dependencies, testing, UAT, migration, rollback planning, executive reporting, and post-deployment support. Requires deep PBM claims-processing expertise, data architecture experience, and hands-on knowledge of ETL, secure file transfer, job scheduling, and healthcare data standards.

Own and modernize CHG’s end-to-end data platform across Snowflake, dbt, Fivetran, and Terraform. Lead business-oriented data modeling, quality and observability, governed metrics, semantic layers, BI, and conversational analytics. Partner with business and product engineering teams on data contracts and trusted definitions. Manage, hire, and mentor analytics engineers while remaining hands-on with development, code reviews, debugging, and platform architecture.

The AVP, Data Engineer will design and build data ingestion, transformation, and replication pipelines using SQL, Python, dbt, and Dagster. Responsibilities include translating requirements into technical designs, developing data products, debugging production issues, supporting testing, and improving data engineering practices. The role also involves data modeling, mentoring junior engineers, conducting code reviews, and providing technical leadership while remaining hands-on. Experience with modern data platforms, workflow orchestration, cloud ecosystems, and insurance or financial services is preferred.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.