Top Data & Analytics Jobs in Hartford, CT

Lead and scale Ticketmaster’s product experimentation program by establishing governance, standards, onboarding, and measurement practices. Configure and monitor Optimizely experiments, design statistically rigorous A/B and multivariate tests, analyze results, and translate findings into product recommendations. Define digital metrics, identify fan-experience opportunities, build self-service analytics resources, and partner with Product, Design, Engineering, Research, and Analytics teams to support data-informed decisions.

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.

Develop and maintain Tableau dashboards, SSRS reports, SQL Server databases, and SSIS or Talend ETL solutions. Write and optimize complex T-SQL queries, stored procedures, and database scripts. Support data migration, integration, validation, reconciliation, and quality initiatives. Manage ETL deployments, environment variables, SQL Server Agent jobs, and version control. Collaborate with business analysts and system integrators throughout requirements, design, testing, deployment, and production support.

Owns business and systems requirements for personal insurance data and analytics initiatives. Elicits, analyzes, validates, prioritizes, and documents requirements; queries and interprets data to test assumptions and support recommendations; manages traceability, testing, defects, risks, and changes; facilitates stakeholder alignment; and identifies process improvements across multiple initiatives.

Lead development and data engineering for Connecticut’s child welfare information systems. Responsibilities include .NET application support, database architecture, complex T-SQL development, Tableau and SSRS reporting, SSIS/Talend ETL, data migration and integration, legacy-system conversion, data quality validation, performance optimization, testing, documentation, and collaboration with business analysts and system integrators throughout the SDLC.

Analyze marketing and customer data to measure campaign impact, uncover customer insights, and improve marketing ROI. Build Tableau dashboards, write and optimize SQL queries, conduct segmentation and lifecycle analysis, validate data quality, and provide actionable recommendations. Partner with marketing, product, and analytics stakeholders to translate business needs into analytical solutions and support strategy across channels, including spend allocation, targeting, attribution, and campaign effectiveness.

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 data transformation and integration strategy, overseeing data pipelines, governance, quality, security, compliance, and workflow optimization. Partners with business, governance, and IT teams to deliver scalable data solutions, manage vendors, and support regulatory requirements. Provides leadership and mentorship to data engineers and integration specialists while driving continuous improvement across data management practices.