Top Senior Analysis Reporting Jobs in Hartford, CT

Leads the design, automation, optimization, and maintenance of scalable data pipelines using Airflow, dbt, Python, SQL, and Google Cloud technologies. Manages dbt models, develops reusable architecture patterns, monitors pipeline performance, supports CI/CD and testing, and ensures data security and governance. The role also provides technical leadership, mentors engineers, collaborates cross-functionally, documents implementations, and drives continuous improvement across data engineering practices.

Lead client analytics strategy, testing roadmaps, quantitative analysis, predictive modeling, campaign evaluation, reporting, and data visualization. Partner with cross-functional teams to deliver high-quality analytical solutions and communicate actionable insights to clients. Use statistical methods and tools including R, Python, SQL, BI platforms, and data warehouses to support marketing decisions, identify growth opportunities, and connect media performance to business outcomes.

Designs, develops, and supports SAP HANA reporting solutions and enterprise data products. Responsibilities include building data pipelines, calculation views, BI visualizations, embedded analytics, validation processes, metadata documentation, demos, and user training. The role partners with stakeholders, analysts, data scientists, and process teams to translate business requirements into deployable data solutions and improve the organization’s data platform.

Leads Microsoft cloud data and AI implementations for clients, including requirements gathering, dimensional modeling, ETL pipeline development, Power BI reporting, performance tuning, data governance, and Azure DevOps delivery. Builds client relationships, mentors junior consultants, oversees project teams and source code, supports presales, and drives continuous improvement. The role is remote with travel requirements.

Administer and develop a SQL Server data warehouse supporting government testing metrics. Responsibilities include ETL development with SSIS and SSDT, complex T-SQL query creation and optimization, database performance and security, backup and disaster recovery, data quality validation, database maintenance, reporting and visualization support, deployment, documentation, and process improvement.

Leads the enterprise data function, including strategy, platform modernization, analytics, data science, governance, architecture, and talent development. Oversees migration from Crystal Reports and Oracle to Databricks and Power BI, builds data connectivity and quality practices, establishes a data science function, develops internal expertise, and advises senior leadership on data-driven decisions.

Leads enterprise analytics strategy, data integration, governance, reporting, dashboards, forecasting, and advanced business analysis. Manages analysts and partners with Sales, Pricing, Finance, Product Management, Operations, and executive leadership to translate complex data into actionable recommendations. Oversees Power BI dashboards, KPI frameworks, data quality, predictive modeling, and reporting automation to improve growth, profitability, pricing, and operational performance.

Analyzes healthcare claims, clinical, administrative, and real-world data to develop and validate quality measures and certification criteria. Builds analytical datasets and pipelines using cloud platforms, performs data quality validation, and supports interoperability initiatives. Translates complex findings into recommendations, dashboards, presentations, and executive insights while partnering with clinical, product, business, and technology teams. Contributes to predictive analytics, risk stratification, benchmarking, and evidence-based healthcare quality improvement.

Leads digital customer experience insights by translating behavioral, journey, Voice of Customer, and performance data into actionable recommendations. Maps end-to-end experiences, identifies friction and drop-off, maintains experience health dashboards, and partners with product, marketing, UX, and engineering on experimentation and optimization. Communicates findings to leadership and supports customer-first product decisions through analytics, competitive benchmarking, and proactive insight delivery.

Build and own production data pipelines using Snowflake, Airflow, dbt, and Python; implement canonical data models; embed validation, quality checks, lineage, freshness, and alerting; support governed self-service data delivery; migrate workloads; partner with business consumers; participate in on-call and incident reviews; and mentor engineers while maintaining strong testing, CI/CD, documentation, and code-review practices.